Upload 13 files
Browse files- README.md +52 -3
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- all_results.json +14 -0
- config.json +26 -0
- eval_results.json +8 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
- train_results.json +9 -0
- trainer_state.json +1564 -0
- training_args.bin +3 -0
README.md
CHANGED
|
@@ -1,3 +1,52 @@
|
|
| 1 |
-
---
|
| 2 |
-
license: apache-2.0
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- alignment-handbook
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
base_model: h2oai/h2o-danube2-1.8b-base
|
| 8 |
+
datasets:
|
| 9 |
+
- HuggingFaceH4/ultrachat_200k
|
| 10 |
+
model-index:
|
| 11 |
+
- name: zephyr-danube-sft-qlora
|
| 12 |
+
results: []
|
| 13 |
+
---
|
| 14 |
+
|
| 15 |
+
**Note**: This model card has been generated automatically according to the information the Trainer had access to.
|
| 16 |
+
Visit the [model card](https://ritvik19.github.io/small-llms/) to see the full description
|
| 17 |
+
|
| 18 |
+
# zephyr-danube-sft-qlora
|
| 19 |
+
|
| 20 |
+
This model is a fine-tuned version of [h2oai/h2o-danube2-1.8b-base](https://huggingface.co/h2oai/h2o-danube2-1.8b-base) on the HuggingFaceH4/ultrachat_200k dataset.
|
| 21 |
+
It achieves the following results on the evaluation set:
|
| 22 |
+
- Loss: 1.0677
|
| 23 |
+
|
| 24 |
+
### Training hyperparameters
|
| 25 |
+
|
| 26 |
+
The following hyperparameters were used during training:
|
| 27 |
+
- learning_rate: 0.0002
|
| 28 |
+
- train_batch_size: 1
|
| 29 |
+
- eval_batch_size: 1
|
| 30 |
+
- seed: 42
|
| 31 |
+
- distributed_type: multi-GPU
|
| 32 |
+
- gradient_accumulation_steps: 128
|
| 33 |
+
- total_train_batch_size: 128
|
| 34 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 35 |
+
- lr_scheduler_type: cosine
|
| 36 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 37 |
+
- num_epochs: 1
|
| 38 |
+
|
| 39 |
+
### Training results
|
| 40 |
+
|
| 41 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 42 |
+
|:-------------:|:------:|:----:|:---------------:|
|
| 43 |
+
| 1.0546 | 0.9996 | 1088 | 1.0677 |
|
| 44 |
+
|
| 45 |
+
|
| 46 |
+
### Framework versions
|
| 47 |
+
|
| 48 |
+
- PEFT 0.7.1
|
| 49 |
+
- Transformers 4.40.1
|
| 50 |
+
- Pytorch 2.1.2+cu121
|
| 51 |
+
- Datasets 2.19.0
|
| 52 |
+
- Tokenizers 0.19.1
|
adapter_config.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "h2oai/h2o-danube2-1.8b-base",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layers_pattern": null,
|
| 10 |
+
"layers_to_transform": null,
|
| 11 |
+
"loftq_config": {},
|
| 12 |
+
"lora_alpha": 16,
|
| 13 |
+
"lora_dropout": 0.05,
|
| 14 |
+
"megatron_config": null,
|
| 15 |
+
"megatron_core": "megatron.core",
|
| 16 |
+
"modules_to_save": null,
|
| 17 |
+
"peft_type": "LORA",
|
| 18 |
+
"r": 16,
|
| 19 |
+
"rank_pattern": {},
|
| 20 |
+
"revision": null,
|
| 21 |
+
"target_modules": [
|
| 22 |
+
"v_proj",
|
| 23 |
+
"o_proj",
|
| 24 |
+
"gate_proj",
|
| 25 |
+
"q_proj",
|
| 26 |
+
"k_proj",
|
| 27 |
+
"down_proj",
|
| 28 |
+
"up_proj"
|
| 29 |
+
],
|
| 30 |
+
"task_type": "CAUSAL_LM"
|
| 31 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0f755b6def912b7a84d2f14a95eae2c2062b17b7194b507b83dc0be01e3559a6
|
| 3 |
+
size 34647816
|
all_results.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.9995621747712183,
|
| 3 |
+
"eval_loss": 1.0676658153533936,
|
| 4 |
+
"eval_runtime": 1919.0013,
|
| 5 |
+
"eval_samples": 23109,
|
| 6 |
+
"eval_samples_per_second": 8.036,
|
| 7 |
+
"eval_steps_per_second": 8.036,
|
| 8 |
+
"total_flos": 3.023110834516656e+18,
|
| 9 |
+
"train_loss": 0.22257287449696483,
|
| 10 |
+
"train_runtime": 15104.5697,
|
| 11 |
+
"train_samples": 207864,
|
| 12 |
+
"train_samples_per_second": 9.224,
|
| 13 |
+
"train_steps_per_second": 0.072
|
| 14 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "h2oai/h2o-danube2-1.8b-base",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"MistralForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 1,
|
| 8 |
+
"eos_token_id": 2,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 2560,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 6912,
|
| 13 |
+
"max_position_embeddings": 8192,
|
| 14 |
+
"model_type": "mistral",
|
| 15 |
+
"num_attention_heads": 32,
|
| 16 |
+
"num_hidden_layers": 24,
|
| 17 |
+
"num_key_value_heads": 8,
|
| 18 |
+
"rms_norm_eps": 1e-05,
|
| 19 |
+
"rope_theta": 10000,
|
| 20 |
+
"sliding_window": null,
|
| 21 |
+
"tie_word_embeddings": false,
|
| 22 |
+
"torch_dtype": "bfloat16",
|
| 23 |
+
"transformers_version": "4.40.1",
|
| 24 |
+
"use_cache": true,
|
| 25 |
+
"vocab_size": 32000
|
| 26 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.9995621747712183,
|
| 3 |
+
"eval_loss": 1.0676658153533936,
|
| 4 |
+
"eval_runtime": 1919.0013,
|
| 5 |
+
"eval_samples": 23109,
|
| 6 |
+
"eval_samples_per_second": 8.036,
|
| 7 |
+
"eval_steps_per_second": 8.036
|
| 8 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
| 3 |
+
size 493443
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"0": {
|
| 6 |
+
"content": "<unk>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"1": {
|
| 14 |
+
"content": "<s>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"2": {
|
| 22 |
+
"content": "</s>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
}
|
| 29 |
+
},
|
| 30 |
+
"additional_special_tokens": [],
|
| 31 |
+
"bos_token": "<s>",
|
| 32 |
+
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
| 33 |
+
"clean_up_tokenization_spaces": false,
|
| 34 |
+
"eos_token": "</s>",
|
| 35 |
+
"legacy": true,
|
| 36 |
+
"model_max_length": 2048,
|
| 37 |
+
"pad_token": "</s>",
|
| 38 |
+
"sp_model_kwargs": {},
|
| 39 |
+
"spaces_between_special_tokens": false,
|
| 40 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 41 |
+
"unk_token": "<unk>",
|
| 42 |
+
"use_default_system_prompt": false
|
| 43 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.9995621747712183,
|
| 3 |
+
"total_flos": 3.023110834516656e+18,
|
| 4 |
+
"train_loss": 0.22257287449696483,
|
| 5 |
+
"train_runtime": 15104.5697,
|
| 6 |
+
"train_samples": 207864,
|
| 7 |
+
"train_samples_per_second": 9.224,
|
| 8 |
+
"train_steps_per_second": 0.072
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1564 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.9995621747712183,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1088,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0009187152341647227,
|
| 13 |
+
"grad_norm": 0.12890625,
|
| 14 |
+
"learning_rate": 1.8348623853211011e-06,
|
| 15 |
+
"loss": 1.1775,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.004593576170823614,
|
| 20 |
+
"grad_norm": 0.1240234375,
|
| 21 |
+
"learning_rate": 9.174311926605506e-06,
|
| 22 |
+
"loss": 1.1877,
|
| 23 |
+
"step": 5
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.009187152341647228,
|
| 27 |
+
"grad_norm": 0.1298828125,
|
| 28 |
+
"learning_rate": 1.834862385321101e-05,
|
| 29 |
+
"loss": 1.1744,
|
| 30 |
+
"step": 10
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.01378072851247084,
|
| 34 |
+
"grad_norm": 0.11865234375,
|
| 35 |
+
"learning_rate": 2.7522935779816515e-05,
|
| 36 |
+
"loss": 1.1666,
|
| 37 |
+
"step": 15
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.018374304683294457,
|
| 41 |
+
"grad_norm": 0.0947265625,
|
| 42 |
+
"learning_rate": 3.669724770642202e-05,
|
| 43 |
+
"loss": 1.1771,
|
| 44 |
+
"step": 20
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.02296788085411807,
|
| 48 |
+
"grad_norm": 0.083984375,
|
| 49 |
+
"learning_rate": 4.587155963302753e-05,
|
| 50 |
+
"loss": 1.1437,
|
| 51 |
+
"step": 25
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.02756145702494168,
|
| 55 |
+
"grad_norm": 0.07080078125,
|
| 56 |
+
"learning_rate": 5.504587155963303e-05,
|
| 57 |
+
"loss": 1.1373,
|
| 58 |
+
"step": 30
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.0321550331957653,
|
| 62 |
+
"grad_norm": 0.0517578125,
|
| 63 |
+
"learning_rate": 6.422018348623854e-05,
|
| 64 |
+
"loss": 1.0934,
|
| 65 |
+
"step": 35
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.036748609366588914,
|
| 69 |
+
"grad_norm": 0.0439453125,
|
| 70 |
+
"learning_rate": 7.339449541284404e-05,
|
| 71 |
+
"loss": 1.0912,
|
| 72 |
+
"step": 40
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.04134218553741253,
|
| 76 |
+
"grad_norm": 0.041748046875,
|
| 77 |
+
"learning_rate": 8.256880733944955e-05,
|
| 78 |
+
"loss": 1.1026,
|
| 79 |
+
"step": 45
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.04593576170823614,
|
| 83 |
+
"grad_norm": 0.0380859375,
|
| 84 |
+
"learning_rate": 9.174311926605506e-05,
|
| 85 |
+
"loss": 1.0824,
|
| 86 |
+
"step": 50
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.05052933787905975,
|
| 90 |
+
"grad_norm": 0.03369140625,
|
| 91 |
+
"learning_rate": 0.00010091743119266055,
|
| 92 |
+
"loss": 1.1075,
|
| 93 |
+
"step": 55
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.05512291404988336,
|
| 97 |
+
"grad_norm": 0.034423828125,
|
| 98 |
+
"learning_rate": 0.00011009174311926606,
|
| 99 |
+
"loss": 1.1073,
|
| 100 |
+
"step": 60
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.05971649022070698,
|
| 104 |
+
"grad_norm": 0.0322265625,
|
| 105 |
+
"learning_rate": 0.00011926605504587157,
|
| 106 |
+
"loss": 1.0848,
|
| 107 |
+
"step": 65
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.0643100663915306,
|
| 111 |
+
"grad_norm": 0.0294189453125,
|
| 112 |
+
"learning_rate": 0.00012844036697247707,
|
| 113 |
+
"loss": 1.072,
|
| 114 |
+
"step": 70
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.0689036425623542,
|
| 118 |
+
"grad_norm": 0.0311279296875,
|
| 119 |
+
"learning_rate": 0.00013761467889908258,
|
| 120 |
+
"loss": 1.0763,
|
| 121 |
+
"step": 75
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.07349721873317783,
|
| 125 |
+
"grad_norm": 0.0294189453125,
|
| 126 |
+
"learning_rate": 0.0001467889908256881,
|
| 127 |
+
"loss": 1.0737,
|
| 128 |
+
"step": 80
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.07809079490400143,
|
| 132 |
+
"grad_norm": 0.0308837890625,
|
| 133 |
+
"learning_rate": 0.0001559633027522936,
|
| 134 |
+
"loss": 1.0564,
|
| 135 |
+
"step": 85
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.08268437107482506,
|
| 139 |
+
"grad_norm": 0.030517578125,
|
| 140 |
+
"learning_rate": 0.0001651376146788991,
|
| 141 |
+
"loss": 1.0754,
|
| 142 |
+
"step": 90
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.08727794724564866,
|
| 146 |
+
"grad_norm": 0.0296630859375,
|
| 147 |
+
"learning_rate": 0.00017431192660550458,
|
| 148 |
+
"loss": 1.0635,
|
| 149 |
+
"step": 95
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.09187152341647228,
|
| 153 |
+
"grad_norm": 0.02978515625,
|
| 154 |
+
"learning_rate": 0.00018348623853211012,
|
| 155 |
+
"loss": 1.0757,
|
| 156 |
+
"step": 100
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.09646509958729589,
|
| 160 |
+
"grad_norm": 0.0299072265625,
|
| 161 |
+
"learning_rate": 0.0001926605504587156,
|
| 162 |
+
"loss": 1.0715,
|
| 163 |
+
"step": 105
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.1010586757581195,
|
| 167 |
+
"grad_norm": 0.0301513671875,
|
| 168 |
+
"learning_rate": 0.00019999948512240548,
|
| 169 |
+
"loss": 1.0733,
|
| 170 |
+
"step": 110
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.10565225192894312,
|
| 174 |
+
"grad_norm": 0.0289306640625,
|
| 175 |
+
"learning_rate": 0.00019998146496329837,
|
| 176 |
+
"loss": 1.0891,
|
| 177 |
+
"step": 115
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.11024582809976673,
|
| 181 |
+
"grad_norm": 0.03125,
|
| 182 |
+
"learning_rate": 0.00019993770622619782,
|
| 183 |
+
"loss": 1.0702,
|
| 184 |
+
"step": 120
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.11483940427059035,
|
| 188 |
+
"grad_norm": 0.033447265625,
|
| 189 |
+
"learning_rate": 0.00019986822017606848,
|
| 190 |
+
"loss": 1.0861,
|
| 191 |
+
"step": 125
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.11943298044141396,
|
| 195 |
+
"grad_norm": 0.0294189453125,
|
| 196 |
+
"learning_rate": 0.00019977302470094708,
|
| 197 |
+
"loss": 1.0615,
|
| 198 |
+
"step": 130
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.12402655661223758,
|
| 202 |
+
"grad_norm": 0.0296630859375,
|
| 203 |
+
"learning_rate": 0.00019965214430733754,
|
| 204 |
+
"loss": 1.0673,
|
| 205 |
+
"step": 135
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.1286201327830612,
|
| 209 |
+
"grad_norm": 0.031982421875,
|
| 210 |
+
"learning_rate": 0.00019950561011390213,
|
| 211 |
+
"loss": 1.0648,
|
| 212 |
+
"step": 140
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.1332137089538848,
|
| 216 |
+
"grad_norm": 0.031494140625,
|
| 217 |
+
"learning_rate": 0.00019933345984345037,
|
| 218 |
+
"loss": 1.0685,
|
| 219 |
+
"step": 145
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.1378072851247084,
|
| 223 |
+
"grad_norm": 0.0301513671875,
|
| 224 |
+
"learning_rate": 0.00019913573781322818,
|
| 225 |
+
"loss": 1.0663,
|
| 226 |
+
"step": 150
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.14240086129553203,
|
| 230 |
+
"grad_norm": 0.0291748046875,
|
| 231 |
+
"learning_rate": 0.00019891249492350887,
|
| 232 |
+
"loss": 1.079,
|
| 233 |
+
"step": 155
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.14699443746635565,
|
| 237 |
+
"grad_norm": 0.03076171875,
|
| 238 |
+
"learning_rate": 0.00019866378864448985,
|
| 239 |
+
"loss": 1.0959,
|
| 240 |
+
"step": 160
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.15158801363717925,
|
| 244 |
+
"grad_norm": 0.030029296875,
|
| 245 |
+
"learning_rate": 0.00019838968300149782,
|
| 246 |
+
"loss": 1.0805,
|
| 247 |
+
"step": 165
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.15618158980800287,
|
| 251 |
+
"grad_norm": 0.0302734375,
|
| 252 |
+
"learning_rate": 0.00019809024855850662,
|
| 253 |
+
"loss": 1.0644,
|
| 254 |
+
"step": 170
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.1607751659788265,
|
| 258 |
+
"grad_norm": 0.02978515625,
|
| 259 |
+
"learning_rate": 0.00019776556239997146,
|
| 260 |
+
"loss": 1.0657,
|
| 261 |
+
"step": 175
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.1653687421496501,
|
| 265 |
+
"grad_norm": 0.0289306640625,
|
| 266 |
+
"learning_rate": 0.000197415708110985,
|
| 267 |
+
"loss": 1.0559,
|
| 268 |
+
"step": 180
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.1699623183204737,
|
| 272 |
+
"grad_norm": 0.02978515625,
|
| 273 |
+
"learning_rate": 0.00019704077575575978,
|
| 274 |
+
"loss": 1.0507,
|
| 275 |
+
"step": 185
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.17455589449129733,
|
| 279 |
+
"grad_norm": 0.031005859375,
|
| 280 |
+
"learning_rate": 0.00019664086185444246,
|
| 281 |
+
"loss": 1.1005,
|
| 282 |
+
"step": 190
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.17914947066212095,
|
| 286 |
+
"grad_norm": 0.02978515625,
|
| 287 |
+
"learning_rate": 0.0001962160693582665,
|
| 288 |
+
"loss": 1.0795,
|
| 289 |
+
"step": 195
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.18374304683294457,
|
| 293 |
+
"grad_norm": 0.0291748046875,
|
| 294 |
+
"learning_rate": 0.00019576650762304903,
|
| 295 |
+
"loss": 1.0786,
|
| 296 |
+
"step": 200
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.18833662300376816,
|
| 300 |
+
"grad_norm": 0.0284423828125,
|
| 301 |
+
"learning_rate": 0.00019529229238103883,
|
| 302 |
+
"loss": 1.0602,
|
| 303 |
+
"step": 205
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.19293019917459178,
|
| 307 |
+
"grad_norm": 0.0301513671875,
|
| 308 |
+
"learning_rate": 0.00019479354571112323,
|
| 309 |
+
"loss": 1.072,
|
| 310 |
+
"step": 210
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.1975237753454154,
|
| 314 |
+
"grad_norm": 0.0286865234375,
|
| 315 |
+
"learning_rate": 0.00019427039600740072,
|
| 316 |
+
"loss": 1.0903,
|
| 317 |
+
"step": 215
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.202117351516239,
|
| 321 |
+
"grad_norm": 0.03076171875,
|
| 322 |
+
"learning_rate": 0.00019372297794612817,
|
| 323 |
+
"loss": 1.0734,
|
| 324 |
+
"step": 220
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.20671092768706262,
|
| 328 |
+
"grad_norm": 0.029541015625,
|
| 329 |
+
"learning_rate": 0.00019315143245105047,
|
| 330 |
+
"loss": 1.0638,
|
| 331 |
+
"step": 225
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.21130450385788624,
|
| 335 |
+
"grad_norm": 0.0302734375,
|
| 336 |
+
"learning_rate": 0.00019255590665712214,
|
| 337 |
+
"loss": 1.0663,
|
| 338 |
+
"step": 230
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.21589808002870986,
|
| 342 |
+
"grad_norm": 0.029052734375,
|
| 343 |
+
"learning_rate": 0.00019193655387262984,
|
| 344 |
+
"loss": 1.0778,
|
| 345 |
+
"step": 235
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.22049165619953345,
|
| 349 |
+
"grad_norm": 0.02978515625,
|
| 350 |
+
"learning_rate": 0.00019129353353972581,
|
| 351 |
+
"loss": 1.0732,
|
| 352 |
+
"step": 240
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.22508523237035707,
|
| 356 |
+
"grad_norm": 0.029052734375,
|
| 357 |
+
"learning_rate": 0.00019062701119338185,
|
| 358 |
+
"loss": 1.0463,
|
| 359 |
+
"step": 245
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.2296788085411807,
|
| 363 |
+
"grad_norm": 0.030517578125,
|
| 364 |
+
"learning_rate": 0.0001899371584187753,
|
| 365 |
+
"loss": 1.0674,
|
| 366 |
+
"step": 250
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.23427238471200432,
|
| 370 |
+
"grad_norm": 0.0294189453125,
|
| 371 |
+
"learning_rate": 0.00018922415280711716,
|
| 372 |
+
"loss": 1.0611,
|
| 373 |
+
"step": 255
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.2388659608828279,
|
| 377 |
+
"grad_norm": 0.0291748046875,
|
| 378 |
+
"learning_rate": 0.00018848817790993432,
|
| 379 |
+
"loss": 1.0603,
|
| 380 |
+
"step": 260
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.24345953705365153,
|
| 384 |
+
"grad_norm": 0.0299072265625,
|
| 385 |
+
"learning_rate": 0.00018772942319181696,
|
| 386 |
+
"loss": 1.0497,
|
| 387 |
+
"step": 265
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.24805311322447515,
|
| 391 |
+
"grad_norm": 0.0311279296875,
|
| 392 |
+
"learning_rate": 0.0001869480839816443,
|
| 393 |
+
"loss": 1.056,
|
| 394 |
+
"step": 270
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.2526466893952988,
|
| 398 |
+
"grad_norm": 0.029541015625,
|
| 399 |
+
"learning_rate": 0.0001861443614223002,
|
| 400 |
+
"loss": 1.0677,
|
| 401 |
+
"step": 275
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.2572402655661224,
|
| 405 |
+
"grad_norm": 0.0301513671875,
|
| 406 |
+
"learning_rate": 0.00018531846241889245,
|
| 407 |
+
"loss": 1.0646,
|
| 408 |
+
"step": 280
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.261833841736946,
|
| 412 |
+
"grad_norm": 0.030029296875,
|
| 413 |
+
"learning_rate": 0.0001844705995854882,
|
| 414 |
+
"loss": 1.0962,
|
| 415 |
+
"step": 285
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.2664274179077696,
|
| 419 |
+
"grad_norm": 0.0296630859375,
|
| 420 |
+
"learning_rate": 0.0001836009911903803,
|
| 421 |
+
"loss": 1.0587,
|
| 422 |
+
"step": 290
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.2710209940785932,
|
| 426 |
+
"grad_norm": 0.0299072265625,
|
| 427 |
+
"learning_rate": 0.00018270986109989744,
|
| 428 |
+
"loss": 1.0724,
|
| 429 |
+
"step": 295
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.2756145702494168,
|
| 433 |
+
"grad_norm": 0.0299072265625,
|
| 434 |
+
"learning_rate": 0.00018179743872077359,
|
| 435 |
+
"loss": 1.0816,
|
| 436 |
+
"step": 300
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.28020814642024044,
|
| 440 |
+
"grad_norm": 0.030029296875,
|
| 441 |
+
"learning_rate": 0.000180863958941091,
|
| 442 |
+
"loss": 1.0654,
|
| 443 |
+
"step": 305
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.28480172259106407,
|
| 447 |
+
"grad_norm": 0.032470703125,
|
| 448 |
+
"learning_rate": 0.00017990966206981224,
|
| 449 |
+
"loss": 1.0828,
|
| 450 |
+
"step": 310
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.2893952987618877,
|
| 454 |
+
"grad_norm": 0.02978515625,
|
| 455 |
+
"learning_rate": 0.0001789347937749164,
|
| 456 |
+
"loss": 1.0492,
|
| 457 |
+
"step": 315
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.2939888749327113,
|
| 461 |
+
"grad_norm": 0.0294189453125,
|
| 462 |
+
"learning_rate": 0.00017793960502015613,
|
| 463 |
+
"loss": 1.0845,
|
| 464 |
+
"step": 320
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.2985824511035349,
|
| 468 |
+
"grad_norm": 0.0294189453125,
|
| 469 |
+
"learning_rate": 0.0001769243520004511,
|
| 470 |
+
"loss": 1.0536,
|
| 471 |
+
"step": 325
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.3031760272743585,
|
| 475 |
+
"grad_norm": 0.030029296875,
|
| 476 |
+
"learning_rate": 0.0001758892960759348,
|
| 477 |
+
"loss": 1.0649,
|
| 478 |
+
"step": 330
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.3077696034451821,
|
| 482 |
+
"grad_norm": 0.031005859375,
|
| 483 |
+
"learning_rate": 0.00017483470370467178,
|
| 484 |
+
"loss": 1.064,
|
| 485 |
+
"step": 335
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.31236317961600574,
|
| 489 |
+
"grad_norm": 0.0296630859375,
|
| 490 |
+
"learning_rate": 0.00017376084637406222,
|
| 491 |
+
"loss": 1.0584,
|
| 492 |
+
"step": 340
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.31695675578682936,
|
| 496 |
+
"grad_norm": 0.02978515625,
|
| 497 |
+
"learning_rate": 0.00017266800053095232,
|
| 498 |
+
"loss": 1.0616,
|
| 499 |
+
"step": 345
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.321550331957653,
|
| 503 |
+
"grad_norm": 0.030029296875,
|
| 504 |
+
"learning_rate": 0.0001715564475104673,
|
| 505 |
+
"loss": 1.0868,
|
| 506 |
+
"step": 350
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.3261439081284766,
|
| 510 |
+
"grad_norm": 0.030517578125,
|
| 511 |
+
"learning_rate": 0.00017042647346358645,
|
| 512 |
+
"loss": 1.0808,
|
| 513 |
+
"step": 355
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.3307374842993002,
|
| 517 |
+
"grad_norm": 0.0294189453125,
|
| 518 |
+
"learning_rate": 0.00016927836928347826,
|
| 519 |
+
"loss": 1.0739,
|
| 520 |
+
"step": 360
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.3353310604701238,
|
| 524 |
+
"grad_norm": 0.030517578125,
|
| 525 |
+
"learning_rate": 0.00016811243053061487,
|
| 526 |
+
"loss": 1.078,
|
| 527 |
+
"step": 365
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.3399246366409474,
|
| 531 |
+
"grad_norm": 0.030517578125,
|
| 532 |
+
"learning_rate": 0.00016692895735668476,
|
| 533 |
+
"loss": 1.0578,
|
| 534 |
+
"step": 370
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.34451821281177103,
|
| 538 |
+
"grad_norm": 0.0308837890625,
|
| 539 |
+
"learning_rate": 0.00016572825442732366,
|
| 540 |
+
"loss": 1.0535,
|
| 541 |
+
"step": 375
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.34911178898259465,
|
| 545 |
+
"grad_norm": 0.03125,
|
| 546 |
+
"learning_rate": 0.0001645106308436836,
|
| 547 |
+
"loss": 1.0668,
|
| 548 |
+
"step": 380
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.35370536515341827,
|
| 552 |
+
"grad_norm": 0.031494140625,
|
| 553 |
+
"learning_rate": 0.00016327640006285967,
|
| 554 |
+
"loss": 1.05,
|
| 555 |
+
"step": 385
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.3582989413242419,
|
| 559 |
+
"grad_norm": 0.031494140625,
|
| 560 |
+
"learning_rate": 0.00016202587981719584,
|
| 561 |
+
"loss": 1.066,
|
| 562 |
+
"step": 390
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.3628925174950655,
|
| 566 |
+
"grad_norm": 0.030517578125,
|
| 567 |
+
"learning_rate": 0.0001607593920324899,
|
| 568 |
+
"loss": 1.0622,
|
| 569 |
+
"step": 395
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.36748609366588914,
|
| 573 |
+
"grad_norm": 0.031982421875,
|
| 574 |
+
"learning_rate": 0.00015947726274511908,
|
| 575 |
+
"loss": 1.0666,
|
| 576 |
+
"step": 400
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.3720796698367127,
|
| 580 |
+
"grad_norm": 0.031494140625,
|
| 581 |
+
"learning_rate": 0.0001581798220181073,
|
| 582 |
+
"loss": 1.0531,
|
| 583 |
+
"step": 405
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.3766732460075363,
|
| 587 |
+
"grad_norm": 0.0311279296875,
|
| 588 |
+
"learning_rate": 0.00015686740385615586,
|
| 589 |
+
"loss": 1.0829,
|
| 590 |
+
"step": 410
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.38126682217835994,
|
| 594 |
+
"grad_norm": 0.030517578125,
|
| 595 |
+
"learning_rate": 0.00015554034611965954,
|
| 596 |
+
"loss": 1.0592,
|
| 597 |
+
"step": 415
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.38586039834918356,
|
| 601 |
+
"grad_norm": 0.031494140625,
|
| 602 |
+
"learning_rate": 0.00015419899043772994,
|
| 603 |
+
"loss": 1.05,
|
| 604 |
+
"step": 420
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.3904539745200072,
|
| 608 |
+
"grad_norm": 0.030029296875,
|
| 609 |
+
"learning_rate": 0.00015284368212024877,
|
| 610 |
+
"loss": 1.0732,
|
| 611 |
+
"step": 425
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.3950475506908308,
|
| 615 |
+
"grad_norm": 0.031494140625,
|
| 616 |
+
"learning_rate": 0.00015147477006897337,
|
| 617 |
+
"loss": 1.0728,
|
| 618 |
+
"step": 430
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.3996411268616544,
|
| 622 |
+
"grad_norm": 0.030029296875,
|
| 623 |
+
"learning_rate": 0.000150092606687718,
|
| 624 |
+
"loss": 1.0481,
|
| 625 |
+
"step": 435
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.404234703032478,
|
| 629 |
+
"grad_norm": 0.03173828125,
|
| 630 |
+
"learning_rate": 0.0001486975477916329,
|
| 631 |
+
"loss": 1.0781,
|
| 632 |
+
"step": 440
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.4088282792033016,
|
| 636 |
+
"grad_norm": 0.03125,
|
| 637 |
+
"learning_rate": 0.00014728995251560596,
|
| 638 |
+
"loss": 1.0703,
|
| 639 |
+
"step": 445
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.41342185537412524,
|
| 643 |
+
"grad_norm": 0.0322265625,
|
| 644 |
+
"learning_rate": 0.00014587018322180905,
|
| 645 |
+
"loss": 1.0554,
|
| 646 |
+
"step": 450
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.41801543154494886,
|
| 650 |
+
"grad_norm": 0.03076171875,
|
| 651 |
+
"learning_rate": 0.00014443860540641406,
|
| 652 |
+
"loss": 1.0626,
|
| 653 |
+
"step": 455
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.4226090077157725,
|
| 657 |
+
"grad_norm": 0.033203125,
|
| 658 |
+
"learning_rate": 0.00014299558760550184,
|
| 659 |
+
"loss": 1.0918,
|
| 660 |
+
"step": 460
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.4272025838865961,
|
| 664 |
+
"grad_norm": 0.0302734375,
|
| 665 |
+
"learning_rate": 0.00014154150130018866,
|
| 666 |
+
"loss": 1.0488,
|
| 667 |
+
"step": 465
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.4317961600574197,
|
| 671 |
+
"grad_norm": 0.031494140625,
|
| 672 |
+
"learning_rate": 0.0001400767208209946,
|
| 673 |
+
"loss": 1.0599,
|
| 674 |
+
"step": 470
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.43638973622824334,
|
| 678 |
+
"grad_norm": 0.0308837890625,
|
| 679 |
+
"learning_rate": 0.0001386016232514784,
|
| 680 |
+
"loss": 1.0669,
|
| 681 |
+
"step": 475
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.4409833123990669,
|
| 685 |
+
"grad_norm": 0.0311279296875,
|
| 686 |
+
"learning_rate": 0.00013711658833116323,
|
| 687 |
+
"loss": 1.0721,
|
| 688 |
+
"step": 480
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.44557688856989053,
|
| 692 |
+
"grad_norm": 0.03173828125,
|
| 693 |
+
"learning_rate": 0.00013562199835777934,
|
| 694 |
+
"loss": 1.0829,
|
| 695 |
+
"step": 485
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.45017046474071415,
|
| 699 |
+
"grad_norm": 0.03125,
|
| 700 |
+
"learning_rate": 0.00013411823808884765,
|
| 701 |
+
"loss": 1.0611,
|
| 702 |
+
"step": 490
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.45476404091153777,
|
| 706 |
+
"grad_norm": 0.031494140625,
|
| 707 |
+
"learning_rate": 0.00013260569464263036,
|
| 708 |
+
"loss": 1.0547,
|
| 709 |
+
"step": 495
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.4593576170823614,
|
| 713 |
+
"grad_norm": 0.032958984375,
|
| 714 |
+
"learning_rate": 0.00013108475739847362,
|
| 715 |
+
"loss": 1.0635,
|
| 716 |
+
"step": 500
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.463951193253185,
|
| 720 |
+
"grad_norm": 0.0302734375,
|
| 721 |
+
"learning_rate": 0.00012955581789656843,
|
| 722 |
+
"loss": 1.0746,
|
| 723 |
+
"step": 505
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.46854476942400863,
|
| 727 |
+
"grad_norm": 0.03125,
|
| 728 |
+
"learning_rate": 0.00012801926973715483,
|
| 729 |
+
"loss": 1.0665,
|
| 730 |
+
"step": 510
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.4731383455948322,
|
| 734 |
+
"grad_norm": 0.03125,
|
| 735 |
+
"learning_rate": 0.0001264755084791963,
|
| 736 |
+
"loss": 1.0547,
|
| 737 |
+
"step": 515
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.4777319217656558,
|
| 741 |
+
"grad_norm": 0.03271484375,
|
| 742 |
+
"learning_rate": 0.00012492493153854937,
|
| 743 |
+
"loss": 1.0508,
|
| 744 |
+
"step": 520
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.48232549793647944,
|
| 748 |
+
"grad_norm": 0.03173828125,
|
| 749 |
+
"learning_rate": 0.0001233679380856557,
|
| 750 |
+
"loss": 1.082,
|
| 751 |
+
"step": 525
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.48691907410730306,
|
| 755 |
+
"grad_norm": 0.03173828125,
|
| 756 |
+
"learning_rate": 0.00012180492894278206,
|
| 757 |
+
"loss": 1.0656,
|
| 758 |
+
"step": 530
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.4915126502781267,
|
| 762 |
+
"grad_norm": 0.032958984375,
|
| 763 |
+
"learning_rate": 0.00012023630648083528,
|
| 764 |
+
"loss": 1.0703,
|
| 765 |
+
"step": 535
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.4961062264489503,
|
| 769 |
+
"grad_norm": 0.031982421875,
|
| 770 |
+
"learning_rate": 0.00011866247451577864,
|
| 771 |
+
"loss": 1.0685,
|
| 772 |
+
"step": 540
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.5006998026197739,
|
| 776 |
+
"grad_norm": 0.0306396484375,
|
| 777 |
+
"learning_rate": 0.00011708383820467595,
|
| 778 |
+
"loss": 1.0568,
|
| 779 |
+
"step": 545
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.5052933787905975,
|
| 783 |
+
"grad_norm": 0.0322265625,
|
| 784 |
+
"learning_rate": 0.00011550080394139062,
|
| 785 |
+
"loss": 1.0405,
|
| 786 |
+
"step": 550
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.5098869549614211,
|
| 790 |
+
"grad_norm": 0.033203125,
|
| 791 |
+
"learning_rate": 0.00011391377925196626,
|
| 792 |
+
"loss": 1.0654,
|
| 793 |
+
"step": 555
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.5144805311322448,
|
| 797 |
+
"grad_norm": 0.031005859375,
|
| 798 |
+
"learning_rate": 0.00011232317268971585,
|
| 799 |
+
"loss": 1.0578,
|
| 800 |
+
"step": 560
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.5190741073030684,
|
| 804 |
+
"grad_norm": 0.03125,
|
| 805 |
+
"learning_rate": 0.00011072939373004647,
|
| 806 |
+
"loss": 1.0581,
|
| 807 |
+
"step": 565
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.523667683473892,
|
| 811 |
+
"grad_norm": 0.031005859375,
|
| 812 |
+
"learning_rate": 0.00010913285266504636,
|
| 813 |
+
"loss": 1.0464,
|
| 814 |
+
"step": 570
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.5282612596447156,
|
| 818 |
+
"grad_norm": 0.0308837890625,
|
| 819 |
+
"learning_rate": 0.0001075339604978624,
|
| 820 |
+
"loss": 1.0744,
|
| 821 |
+
"step": 575
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.5328548358155392,
|
| 825 |
+
"grad_norm": 0.0308837890625,
|
| 826 |
+
"learning_rate": 0.0001059331288368938,
|
| 827 |
+
"loss": 1.0675,
|
| 828 |
+
"step": 580
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.5374484119863628,
|
| 832 |
+
"grad_norm": 0.031982421875,
|
| 833 |
+
"learning_rate": 0.0001043307697898305,
|
| 834 |
+
"loss": 1.0682,
|
| 835 |
+
"step": 585
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.5420419881571864,
|
| 839 |
+
"grad_norm": 0.032470703125,
|
| 840 |
+
"learning_rate": 0.00010272729585756275,
|
| 841 |
+
"loss": 1.0577,
|
| 842 |
+
"step": 590
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.5466355643280101,
|
| 846 |
+
"grad_norm": 0.0311279296875,
|
| 847 |
+
"learning_rate": 0.00010112311982798959,
|
| 848 |
+
"loss": 1.0535,
|
| 849 |
+
"step": 595
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.5512291404988336,
|
| 853 |
+
"grad_norm": 0.0306396484375,
|
| 854 |
+
"learning_rate": 9.951865466975344e-05,
|
| 855 |
+
"loss": 1.0713,
|
| 856 |
+
"step": 600
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 0.5558227166696573,
|
| 860 |
+
"grad_norm": 0.0311279296875,
|
| 861 |
+
"learning_rate": 9.791431342592811e-05,
|
| 862 |
+
"loss": 1.0532,
|
| 863 |
+
"step": 605
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 0.5604162928404809,
|
| 867 |
+
"grad_norm": 0.0311279296875,
|
| 868 |
+
"learning_rate": 9.631050910768773e-05,
|
| 869 |
+
"loss": 1.0807,
|
| 870 |
+
"step": 610
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 0.5650098690113045,
|
| 874 |
+
"grad_norm": 0.031005859375,
|
| 875 |
+
"learning_rate": 9.470765458798368e-05,
|
| 876 |
+
"loss": 1.0504,
|
| 877 |
+
"step": 615
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 0.5696034451821281,
|
| 881 |
+
"grad_norm": 0.032470703125,
|
| 882 |
+
"learning_rate": 9.310616249525759e-05,
|
| 883 |
+
"loss": 1.0507,
|
| 884 |
+
"step": 620
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.5741970213529517,
|
| 888 |
+
"grad_norm": 0.0308837890625,
|
| 889 |
+
"learning_rate": 9.15064451072165e-05,
|
| 890 |
+
"loss": 1.0434,
|
| 891 |
+
"step": 625
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.5787905975237754,
|
| 895 |
+
"grad_norm": 0.031005859375,
|
| 896 |
+
"learning_rate": 8.990891424469927e-05,
|
| 897 |
+
"loss": 1.0744,
|
| 898 |
+
"step": 630
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.5833841736945989,
|
| 902 |
+
"grad_norm": 0.03173828125,
|
| 903 |
+
"learning_rate": 8.831398116565964e-05,
|
| 904 |
+
"loss": 1.0792,
|
| 905 |
+
"step": 635
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.5879777498654226,
|
| 909 |
+
"grad_norm": 0.03173828125,
|
| 910 |
+
"learning_rate": 8.672205645929503e-05,
|
| 911 |
+
"loss": 1.0723,
|
| 912 |
+
"step": 640
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 0.5925713260362462,
|
| 916 |
+
"grad_norm": 0.031982421875,
|
| 917 |
+
"learning_rate": 8.513354994034681e-05,
|
| 918 |
+
"loss": 1.0627,
|
| 919 |
+
"step": 645
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.5971649022070697,
|
| 923 |
+
"grad_norm": 0.031982421875,
|
| 924 |
+
"learning_rate": 8.35488705436006e-05,
|
| 925 |
+
"loss": 1.0844,
|
| 926 |
+
"step": 650
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 0.6017584783778934,
|
| 930 |
+
"grad_norm": 0.031982421875,
|
| 931 |
+
"learning_rate": 8.196842621861242e-05,
|
| 932 |
+
"loss": 1.0566,
|
| 933 |
+
"step": 655
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.606352054548717,
|
| 937 |
+
"grad_norm": 0.03173828125,
|
| 938 |
+
"learning_rate": 8.039262382468905e-05,
|
| 939 |
+
"loss": 1.0697,
|
| 940 |
+
"step": 660
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.6109456307195407,
|
| 944 |
+
"grad_norm": 0.03271484375,
|
| 945 |
+
"learning_rate": 7.882186902614865e-05,
|
| 946 |
+
"loss": 1.0719,
|
| 947 |
+
"step": 665
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.6155392068903642,
|
| 951 |
+
"grad_norm": 0.032470703125,
|
| 952 |
+
"learning_rate": 7.725656618788937e-05,
|
| 953 |
+
"loss": 1.0519,
|
| 954 |
+
"step": 670
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.6201327830611879,
|
| 958 |
+
"grad_norm": 0.03271484375,
|
| 959 |
+
"learning_rate": 7.569711827129208e-05,
|
| 960 |
+
"loss": 1.0508,
|
| 961 |
+
"step": 675
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.6247263592320115,
|
| 965 |
+
"grad_norm": 0.031982421875,
|
| 966 |
+
"learning_rate": 7.414392673048478e-05,
|
| 967 |
+
"loss": 1.0631,
|
| 968 |
+
"step": 680
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 0.6293199354028352,
|
| 972 |
+
"grad_norm": 0.031494140625,
|
| 973 |
+
"learning_rate": 7.259739140899462e-05,
|
| 974 |
+
"loss": 1.0702,
|
| 975 |
+
"step": 685
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 0.6339135115736587,
|
| 979 |
+
"grad_norm": 0.031494140625,
|
| 980 |
+
"learning_rate": 7.105791043681519e-05,
|
| 981 |
+
"loss": 1.0642,
|
| 982 |
+
"step": 690
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 0.6385070877444823,
|
| 986 |
+
"grad_norm": 0.031494140625,
|
| 987 |
+
"learning_rate": 6.952588012791405e-05,
|
| 988 |
+
"loss": 1.0585,
|
| 989 |
+
"step": 695
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.643100663915306,
|
| 993 |
+
"grad_norm": 0.03125,
|
| 994 |
+
"learning_rate": 6.80016948782086e-05,
|
| 995 |
+
"loss": 1.0691,
|
| 996 |
+
"step": 700
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 0.6476942400861295,
|
| 1000 |
+
"grad_norm": 0.031494140625,
|
| 1001 |
+
"learning_rate": 6.648574706403522e-05,
|
| 1002 |
+
"loss": 1.0614,
|
| 1003 |
+
"step": 705
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 0.6522878162569532,
|
| 1007 |
+
"grad_norm": 0.031982421875,
|
| 1008 |
+
"learning_rate": 6.497842694113842e-05,
|
| 1009 |
+
"loss": 1.0649,
|
| 1010 |
+
"step": 710
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.6568813924277768,
|
| 1014 |
+
"grad_norm": 0.03173828125,
|
| 1015 |
+
"learning_rate": 6.348012254420606e-05,
|
| 1016 |
+
"loss": 1.07,
|
| 1017 |
+
"step": 715
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.6614749685986004,
|
| 1021 |
+
"grad_norm": 0.0308837890625,
|
| 1022 |
+
"learning_rate": 6.199121958697604e-05,
|
| 1023 |
+
"loss": 1.0709,
|
| 1024 |
+
"step": 720
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.666068544769424,
|
| 1028 |
+
"grad_norm": 0.03466796875,
|
| 1029 |
+
"learning_rate": 6.051210136294089e-05,
|
| 1030 |
+
"loss": 1.063,
|
| 1031 |
+
"step": 725
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.6706621209402476,
|
| 1035 |
+
"grad_norm": 0.03173828125,
|
| 1036 |
+
"learning_rate": 5.904314864667497e-05,
|
| 1037 |
+
"loss": 1.0622,
|
| 1038 |
+
"step": 730
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 0.6752556971110713,
|
| 1042 |
+
"grad_norm": 0.031005859375,
|
| 1043 |
+
"learning_rate": 5.758473959581061e-05,
|
| 1044 |
+
"loss": 1.0558,
|
| 1045 |
+
"step": 735
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.6798492732818948,
|
| 1049 |
+
"grad_norm": 0.03125,
|
| 1050 |
+
"learning_rate": 5.613724965368723e-05,
|
| 1051 |
+
"loss": 1.0724,
|
| 1052 |
+
"step": 740
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.6844428494527185,
|
| 1056 |
+
"grad_norm": 0.031982421875,
|
| 1057 |
+
"learning_rate": 5.4701051452700245e-05,
|
| 1058 |
+
"loss": 1.0675,
|
| 1059 |
+
"step": 745
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 0.6890364256235421,
|
| 1063 |
+
"grad_norm": 0.0322265625,
|
| 1064 |
+
"learning_rate": 5.327651471837242e-05,
|
| 1065 |
+
"loss": 1.079,
|
| 1066 |
+
"step": 750
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.6936300017943657,
|
| 1070 |
+
"grad_norm": 0.03173828125,
|
| 1071 |
+
"learning_rate": 5.1864006174174504e-05,
|
| 1072 |
+
"loss": 1.0626,
|
| 1073 |
+
"step": 755
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 0.6982235779651893,
|
| 1077 |
+
"grad_norm": 0.033447265625,
|
| 1078 |
+
"learning_rate": 5.046388944711824e-05,
|
| 1079 |
+
"loss": 1.0637,
|
| 1080 |
+
"step": 760
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 0.7028171541360129,
|
| 1084 |
+
"grad_norm": 0.0322265625,
|
| 1085 |
+
"learning_rate": 4.9076524974146507e-05,
|
| 1086 |
+
"loss": 1.0565,
|
| 1087 |
+
"step": 765
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.7074107303068365,
|
| 1091 |
+
"grad_norm": 0.031494140625,
|
| 1092 |
+
"learning_rate": 4.7702269909344907e-05,
|
| 1093 |
+
"loss": 1.068,
|
| 1094 |
+
"step": 770
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 0.7120043064776601,
|
| 1098 |
+
"grad_norm": 0.031494140625,
|
| 1099 |
+
"learning_rate": 4.6341478031998265e-05,
|
| 1100 |
+
"loss": 1.0632,
|
| 1101 |
+
"step": 775
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 0.7165978826484838,
|
| 1105 |
+
"grad_norm": 0.0322265625,
|
| 1106 |
+
"learning_rate": 4.4994499655515865e-05,
|
| 1107 |
+
"loss": 1.0809,
|
| 1108 |
+
"step": 780
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 0.7211914588193074,
|
| 1112 |
+
"grad_norm": 0.03173828125,
|
| 1113 |
+
"learning_rate": 4.3661681537249455e-05,
|
| 1114 |
+
"loss": 1.0694,
|
| 1115 |
+
"step": 785
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 0.725785034990131,
|
| 1119 |
+
"grad_norm": 0.03271484375,
|
| 1120 |
+
"learning_rate": 4.234336678922569e-05,
|
| 1121 |
+
"loss": 1.06,
|
| 1122 |
+
"step": 790
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 0.7303786111609546,
|
| 1126 |
+
"grad_norm": 0.03173828125,
|
| 1127 |
+
"learning_rate": 4.103989478981827e-05,
|
| 1128 |
+
"loss": 1.0498,
|
| 1129 |
+
"step": 795
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 0.7349721873317783,
|
| 1133 |
+
"grad_norm": 0.0322265625,
|
| 1134 |
+
"learning_rate": 3.975160109637992e-05,
|
| 1135 |
+
"loss": 1.0527,
|
| 1136 |
+
"step": 800
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 0.7395657635026018,
|
| 1140 |
+
"grad_norm": 0.033447265625,
|
| 1141 |
+
"learning_rate": 3.847881735885918e-05,
|
| 1142 |
+
"loss": 1.0593,
|
| 1143 |
+
"step": 805
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 0.7441593396734254,
|
| 1147 |
+
"grad_norm": 0.031982421875,
|
| 1148 |
+
"learning_rate": 3.722187123442249e-05,
|
| 1149 |
+
"loss": 1.0568,
|
| 1150 |
+
"step": 810
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 0.7487529158442491,
|
| 1154 |
+
"grad_norm": 0.0322265625,
|
| 1155 |
+
"learning_rate": 3.598108630310399e-05,
|
| 1156 |
+
"loss": 1.0651,
|
| 1157 |
+
"step": 815
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 0.7533464920150726,
|
| 1161 |
+
"grad_norm": 0.031494140625,
|
| 1162 |
+
"learning_rate": 3.475678198450555e-05,
|
| 1163 |
+
"loss": 1.0451,
|
| 1164 |
+
"step": 820
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 0.7579400681858963,
|
| 1168 |
+
"grad_norm": 0.032470703125,
|
| 1169 |
+
"learning_rate": 3.354927345556723e-05,
|
| 1170 |
+
"loss": 1.0591,
|
| 1171 |
+
"step": 825
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 0.7625336443567199,
|
| 1175 |
+
"grad_norm": 0.03173828125,
|
| 1176 |
+
"learning_rate": 3.235887156943029e-05,
|
| 1177 |
+
"loss": 1.0519,
|
| 1178 |
+
"step": 830
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 0.7671272205275436,
|
| 1182 |
+
"grad_norm": 0.031982421875,
|
| 1183 |
+
"learning_rate": 3.118588277541312e-05,
|
| 1184 |
+
"loss": 1.0833,
|
| 1185 |
+
"step": 835
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 0.7717207966983671,
|
| 1189 |
+
"grad_norm": 0.03271484375,
|
| 1190 |
+
"learning_rate": 3.003060904012096e-05,
|
| 1191 |
+
"loss": 1.0543,
|
| 1192 |
+
"step": 840
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 0.7763143728691907,
|
| 1196 |
+
"grad_norm": 0.031982421875,
|
| 1197 |
+
"learning_rate": 2.8893347769709476e-05,
|
| 1198 |
+
"loss": 1.0755,
|
| 1199 |
+
"step": 845
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 0.7809079490400144,
|
| 1203 |
+
"grad_norm": 0.03271484375,
|
| 1204 |
+
"learning_rate": 2.7774391733322713e-05,
|
| 1205 |
+
"loss": 1.0682,
|
| 1206 |
+
"step": 850
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 0.7855015252108379,
|
| 1210 |
+
"grad_norm": 0.03173828125,
|
| 1211 |
+
"learning_rate": 2.6674028987724163e-05,
|
| 1212 |
+
"loss": 1.064,
|
| 1213 |
+
"step": 855
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 0.7900951013816616,
|
| 1217 |
+
"grad_norm": 0.031494140625,
|
| 1218 |
+
"learning_rate": 2.559254280314156e-05,
|
| 1219 |
+
"loss": 1.0648,
|
| 1220 |
+
"step": 860
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 0.7946886775524852,
|
| 1224 |
+
"grad_norm": 0.031982421875,
|
| 1225 |
+
"learning_rate": 2.4530211590343578e-05,
|
| 1226 |
+
"loss": 1.0699,
|
| 1227 |
+
"step": 865
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 0.7992822537233089,
|
| 1231 |
+
"grad_norm": 0.03173828125,
|
| 1232 |
+
"learning_rate": 2.3487308828967493e-05,
|
| 1233 |
+
"loss": 1.0647,
|
| 1234 |
+
"step": 870
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 0.8038758298941324,
|
| 1238 |
+
"grad_norm": 0.031982421875,
|
| 1239 |
+
"learning_rate": 2.2464102997116475e-05,
|
| 1240 |
+
"loss": 1.0636,
|
| 1241 |
+
"step": 875
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 0.808469406064956,
|
| 1245 |
+
"grad_norm": 0.03125,
|
| 1246 |
+
"learning_rate": 2.1460857502244248e-05,
|
| 1247 |
+
"loss": 1.0793,
|
| 1248 |
+
"step": 880
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 0.8130629822357797,
|
| 1252 |
+
"grad_norm": 0.03125,
|
| 1253 |
+
"learning_rate": 2.047783061334523e-05,
|
| 1254 |
+
"loss": 1.0501,
|
| 1255 |
+
"step": 885
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 0.8176565584066032,
|
| 1259 |
+
"grad_norm": 0.031494140625,
|
| 1260 |
+
"learning_rate": 1.9515275394467446e-05,
|
| 1261 |
+
"loss": 1.0553,
|
| 1262 |
+
"step": 890
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 0.8222501345774269,
|
| 1266 |
+
"grad_norm": 0.03173828125,
|
| 1267 |
+
"learning_rate": 1.8573439639565282e-05,
|
| 1268 |
+
"loss": 1.059,
|
| 1269 |
+
"step": 895
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 0.8268437107482505,
|
| 1273 |
+
"grad_norm": 0.031494140625,
|
| 1274 |
+
"learning_rate": 1.765256580870924e-05,
|
| 1275 |
+
"loss": 1.0653,
|
| 1276 |
+
"step": 900
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 0.8314372869190741,
|
| 1280 |
+
"grad_norm": 0.0322265625,
|
| 1281 |
+
"learning_rate": 1.6752890965668266e-05,
|
| 1282 |
+
"loss": 1.0616,
|
| 1283 |
+
"step": 905
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 0.8360308630898977,
|
| 1287 |
+
"grad_norm": 0.031982421875,
|
| 1288 |
+
"learning_rate": 1.587464671688187e-05,
|
| 1289 |
+
"loss": 1.0612,
|
| 1290 |
+
"step": 910
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 0.8406244392607214,
|
| 1294 |
+
"grad_norm": 0.031982421875,
|
| 1295 |
+
"learning_rate": 1.501805915183685e-05,
|
| 1296 |
+
"loss": 1.0723,
|
| 1297 |
+
"step": 915
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 0.845218015431545,
|
| 1301 |
+
"grad_norm": 0.031982421875,
|
| 1302 |
+
"learning_rate": 1.4183348784864037e-05,
|
| 1303 |
+
"loss": 1.0664,
|
| 1304 |
+
"step": 920
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 0.8498115916023685,
|
| 1308 |
+
"grad_norm": 0.03125,
|
| 1309 |
+
"learning_rate": 1.3370730498370831e-05,
|
| 1310 |
+
"loss": 1.0693,
|
| 1311 |
+
"step": 925
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 0.8544051677731922,
|
| 1315 |
+
"grad_norm": 0.03173828125,
|
| 1316 |
+
"learning_rate": 1.258041348752308e-05,
|
| 1317 |
+
"loss": 1.0715,
|
| 1318 |
+
"step": 930
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 0.8589987439440158,
|
| 1322 |
+
"grad_norm": 0.031982421875,
|
| 1323 |
+
"learning_rate": 1.1812601206391304e-05,
|
| 1324 |
+
"loss": 1.0755,
|
| 1325 |
+
"step": 935
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 0.8635923201148394,
|
| 1329 |
+
"grad_norm": 0.03125,
|
| 1330 |
+
"learning_rate": 1.1067491315574797e-05,
|
| 1331 |
+
"loss": 1.0522,
|
| 1332 |
+
"step": 940
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 0.868185896285663,
|
| 1336 |
+
"grad_norm": 0.03173828125,
|
| 1337 |
+
"learning_rate": 1.0345275631317163e-05,
|
| 1338 |
+
"loss": 1.0495,
|
| 1339 |
+
"step": 945
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 0.8727794724564867,
|
| 1343 |
+
"grad_norm": 0.03173828125,
|
| 1344 |
+
"learning_rate": 9.64614007612633e-06,
|
| 1345 |
+
"loss": 1.0637,
|
| 1346 |
+
"step": 950
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 0.8773730486273102,
|
| 1350 |
+
"grad_norm": 0.031494140625,
|
| 1351 |
+
"learning_rate": 8.970264630912061e-06,
|
| 1352 |
+
"loss": 1.064,
|
| 1353 |
+
"step": 955
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 0.8819666247981338,
|
| 1357 |
+
"grad_norm": 0.031494140625,
|
| 1358 |
+
"learning_rate": 8.317823288652526e-06,
|
| 1359 |
+
"loss": 1.0457,
|
| 1360 |
+
"step": 960
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 0.8865602009689575,
|
| 1364 |
+
"grad_norm": 0.03173828125,
|
| 1365 |
+
"learning_rate": 7.688984009603062e-06,
|
| 1366 |
+
"loss": 1.0633,
|
| 1367 |
+
"step": 965
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 0.8911537771397811,
|
| 1371 |
+
"grad_norm": 0.0322265625,
|
| 1372 |
+
"learning_rate": 7.083908678057194e-06,
|
| 1373 |
+
"loss": 1.0677,
|
| 1374 |
+
"step": 970
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 0.8957473533106047,
|
| 1378 |
+
"grad_norm": 0.03125,
|
| 1379 |
+
"learning_rate": 6.502753060672495e-06,
|
| 1380 |
+
"loss": 1.0482,
|
| 1381 |
+
"step": 975
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 0.9003409294814283,
|
| 1385 |
+
"grad_norm": 0.0322265625,
|
| 1386 |
+
"learning_rate": 5.945666766370861e-06,
|
| 1387 |
+
"loss": 1.0749,
|
| 1388 |
+
"step": 980
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 0.904934505652252,
|
| 1392 |
+
"grad_norm": 0.03173828125,
|
| 1393 |
+
"learning_rate": 5.412793207824252e-06,
|
| 1394 |
+
"loss": 1.0588,
|
| 1395 |
+
"step": 985
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 0.9095280818230755,
|
| 1399 |
+
"grad_norm": 0.031494140625,
|
| 1400 |
+
"learning_rate": 4.904269564535391e-06,
|
| 1401 |
+
"loss": 1.0575,
|
| 1402 |
+
"step": 990
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 0.9141216579938991,
|
| 1406 |
+
"grad_norm": 0.03173828125,
|
| 1407 |
+
"learning_rate": 4.42022674752326e-06,
|
| 1408 |
+
"loss": 1.0554,
|
| 1409 |
+
"step": 995
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 0.9187152341647228,
|
| 1413 |
+
"grad_norm": 0.03271484375,
|
| 1414 |
+
"learning_rate": 3.960789365622075e-06,
|
| 1415 |
+
"loss": 1.0504,
|
| 1416 |
+
"step": 1000
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 0.9233088103355463,
|
| 1420 |
+
"grad_norm": 0.031494140625,
|
| 1421 |
+
"learning_rate": 3.526075693402986e-06,
|
| 1422 |
+
"loss": 1.064,
|
| 1423 |
+
"step": 1005
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 0.92790238650637,
|
| 1427 |
+
"grad_norm": 0.031494140625,
|
| 1428 |
+
"learning_rate": 3.116197640726104e-06,
|
| 1429 |
+
"loss": 1.0566,
|
| 1430 |
+
"step": 1010
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 0.9324959626771936,
|
| 1434 |
+
"grad_norm": 0.03173828125,
|
| 1435 |
+
"learning_rate": 2.7312607239311505e-06,
|
| 1436 |
+
"loss": 1.0623,
|
| 1437 |
+
"step": 1015
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 0.9370895388480173,
|
| 1441 |
+
"grad_norm": 0.032958984375,
|
| 1442 |
+
"learning_rate": 2.3713640386741396e-06,
|
| 1443 |
+
"loss": 1.0708,
|
| 1444 |
+
"step": 1020
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 0.9416831150188408,
|
| 1448 |
+
"grad_norm": 0.032470703125,
|
| 1449 |
+
"learning_rate": 2.0366002344166745e-06,
|
| 1450 |
+
"loss": 1.0646,
|
| 1451 |
+
"step": 1025
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 0.9462766911896644,
|
| 1455 |
+
"grad_norm": 0.03173828125,
|
| 1456 |
+
"learning_rate": 1.7270554905750137e-06,
|
| 1457 |
+
"loss": 1.0753,
|
| 1458 |
+
"step": 1030
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 0.9508702673604881,
|
| 1462 |
+
"grad_norm": 0.031494140625,
|
| 1463 |
+
"learning_rate": 1.4428094943345294e-06,
|
| 1464 |
+
"loss": 1.0618,
|
| 1465 |
+
"step": 1035
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 0.9554638435313116,
|
| 1469 |
+
"grad_norm": 0.03173828125,
|
| 1470 |
+
"learning_rate": 1.1839354201355513e-06,
|
| 1471 |
+
"loss": 1.0533,
|
| 1472 |
+
"step": 1040
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 0.9600574197021353,
|
| 1476 |
+
"grad_norm": 0.03125,
|
| 1477 |
+
"learning_rate": 9.50499910835867e-07,
|
| 1478 |
+
"loss": 1.0471,
|
| 1479 |
+
"step": 1045
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 0.9646509958729589,
|
| 1483 |
+
"grad_norm": 0.03173828125,
|
| 1484 |
+
"learning_rate": 7.425630605545575e-07,
|
| 1485 |
+
"loss": 1.0564,
|
| 1486 |
+
"step": 1050
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 0.9692445720437826,
|
| 1490 |
+
"grad_norm": 0.0322265625,
|
| 1491 |
+
"learning_rate": 5.60178399201805e-07,
|
| 1492 |
+
"loss": 1.0793,
|
| 1493 |
+
"step": 1055
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 0.9738381482146061,
|
| 1497 |
+
"grad_norm": 0.03173828125,
|
| 1498 |
+
"learning_rate": 4.0339287869847197e-07,
|
| 1499 |
+
"loss": 1.0729,
|
| 1500 |
+
"step": 1060
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 0.9784317243854298,
|
| 1504 |
+
"grad_norm": 0.031982421875,
|
| 1505 |
+
"learning_rate": 2.7224686088910265e-07,
|
| 1506 |
+
"loss": 1.0542,
|
| 1507 |
+
"step": 1065
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 0.9830253005562534,
|
| 1511 |
+
"grad_norm": 0.03173828125,
|
| 1512 |
+
"learning_rate": 1.6677410715149054e-07,
|
| 1513 |
+
"loss": 1.0532,
|
| 1514 |
+
"step": 1070
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 0.9876188767270769,
|
| 1518 |
+
"grad_norm": 0.031982421875,
|
| 1519 |
+
"learning_rate": 8.700176970527497e-08,
|
| 1520 |
+
"loss": 1.0724,
|
| 1521 |
+
"step": 1075
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 0.9922124528979006,
|
| 1525 |
+
"grad_norm": 0.0322265625,
|
| 1526 |
+
"learning_rate": 3.29503846221213e-08,
|
| 1527 |
+
"loss": 1.0617,
|
| 1528 |
+
"step": 1080
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"epoch": 0.9968060290687242,
|
| 1532 |
+
"grad_norm": 0.031494140625,
|
| 1533 |
+
"learning_rate": 4.633866539005549e-09,
|
| 1534 |
+
"loss": 1.0546,
|
| 1535 |
+
"step": 1085
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 0.9995621747712183,
|
| 1539 |
+
"eval_loss": 1.0676658153533936,
|
| 1540 |
+
"eval_runtime": 1909.6941,
|
| 1541 |
+
"eval_samples_per_second": 8.075,
|
| 1542 |
+
"eval_steps_per_second": 8.075,
|
| 1543 |
+
"step": 1088
|
| 1544 |
+
},
|
| 1545 |
+
{
|
| 1546 |
+
"epoch": 0.9995621747712183,
|
| 1547 |
+
"step": 1088,
|
| 1548 |
+
"total_flos": 3.023110834516656e+18,
|
| 1549 |
+
"train_loss": 0.22257287449696483,
|
| 1550 |
+
"train_runtime": 15104.5697,
|
| 1551 |
+
"train_samples_per_second": 9.224,
|
| 1552 |
+
"train_steps_per_second": 0.072
|
| 1553 |
+
}
|
| 1554 |
+
],
|
| 1555 |
+
"logging_steps": 5,
|
| 1556 |
+
"max_steps": 1088,
|
| 1557 |
+
"num_input_tokens_seen": 0,
|
| 1558 |
+
"num_train_epochs": 1,
|
| 1559 |
+
"save_steps": 20,
|
| 1560 |
+
"total_flos": 3.023110834516656e+18,
|
| 1561 |
+
"train_batch_size": 1,
|
| 1562 |
+
"trial_name": null,
|
| 1563 |
+
"trial_params": null
|
| 1564 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:083ba15627c3a11156123908752af71f4c4736df9a8307135c75c10977c0b45f
|
| 3 |
+
size 5112
|