Commit
•
346e45d
1
Parent(s):
aab4701
Model save
Browse files- README.md +84 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +414 -0
README.md
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---
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base_model: google/gemma-2-2b-it
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library_name: peft
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license: gemma
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: Gemma-2-2B_task-1_60-samples_config-2_full
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Gemma-2-2B_task-1_60-samples_config-2_full
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This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2188
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-------:|:----:|:---------------:|
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| 2.6105 | 0.6957 | 2 | 2.4360 |
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| 2.5655 | 1.7391 | 5 | 2.3295 |
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| 2.2831 | 2.7826 | 8 | 1.9787 |
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| 2.0137 | 3.8261 | 11 | 1.6425 |
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| 1.5688 | 4.8696 | 14 | 1.4293 |
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| 1.4129 | 5.9130 | 17 | 1.2381 |
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| 1.1583 | 6.9565 | 20 | 1.1529 |
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| 1.0951 | 8.0 | 23 | 1.1034 |
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| 1.0201 | 8.6957 | 25 | 1.0816 |
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| 0.9479 | 9.7391 | 28 | 1.0556 |
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| 0.9142 | 10.7826 | 31 | 1.0383 |
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| 0.8428 | 11.8261 | 34 | 1.0284 |
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| 0.8092 | 12.8696 | 37 | 1.0277 |
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| 0.7383 | 13.9130 | 40 | 1.0369 |
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| 0.7168 | 14.9565 | 43 | 1.0502 |
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| 0.6614 | 16.0 | 46 | 1.0692 |
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| 0.6166 | 16.6957 | 48 | 1.0939 |
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| 0.6045 | 17.7391 | 51 | 1.1363 |
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| 0.5177 | 18.7826 | 54 | 1.1785 |
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| 0.5067 | 19.8261 | 57 | 1.2188 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0
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- Pytorch 2.1.2+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 83115256
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:157532c78ddaefc778940a6f289aeb30f4c50e24d040e4b3625fa36bef71d5d9
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size 83115256
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all_results.json
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{
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"epoch": 19.82608695652174,
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"total_flos": 3568612577640448.0,
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"train_loss": 1.1697518522279304,
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"train_runtime": 430.7309,
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"train_samples": 46,
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"train_samples_per_second": 5.34,
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"train_steps_per_second": 0.232
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}
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train_results.json
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{
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"epoch": 19.82608695652174,
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"total_flos": 3568612577640448.0,
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"train_loss": 1.1697518522279304,
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"train_runtime": 430.7309,
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"train_samples": 46,
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"train_samples_per_second": 5.34,
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"train_steps_per_second": 0.232
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}
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trainer_state.json
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{
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"best_metric": 1.0276590585708618,
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| 3 |
+
"best_model_checkpoint": "data/Gemma-2-2B_task-1_60-samples_config-2_full/checkpoint-37",
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| 4 |
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"epoch": 19.82608695652174,
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| 5 |
+
"eval_steps": 500,
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| 6 |
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"global_step": 57,
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| 7 |
+
"is_hyper_param_search": false,
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| 8 |
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"is_local_process_zero": true,
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| 9 |
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"is_world_process_zero": true,
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| 10 |
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"log_history": [
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| 11 |
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{
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| 12 |
+
"epoch": 0.34782608695652173,
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| 13 |
+
"grad_norm": 1.4650648832321167,
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| 14 |
+
"learning_rate": 1e-05,
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| 15 |
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"loss": 2.5672,
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| 16 |
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"step": 1
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},
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| 18 |
+
{
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| 19 |
+
"epoch": 0.6956521739130435,
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| 20 |
+
"grad_norm": 1.4680970907211304,
|
| 21 |
+
"learning_rate": 2e-05,
|
| 22 |
+
"loss": 2.6105,
|
| 23 |
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"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.6956521739130435,
|
| 27 |
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"eval_loss": 2.4359917640686035,
|
| 28 |
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"eval_runtime": 1.1542,
|
| 29 |
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"eval_samples_per_second": 10.397,
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| 30 |
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"eval_steps_per_second": 10.397,
|
| 31 |
+
"step": 2
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 1.391304347826087,
|
| 35 |
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"grad_norm": 1.4834535121917725,
|
| 36 |
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"learning_rate": 4e-05,
|
| 37 |
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"loss": 2.5655,
|
| 38 |
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