End of training

README.md

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+---
+base_model: microsoft/Phi-3-mini-4k-instruct
+library_name: peft
+license: mit
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: phi3-nosys-gpt4ominiplans-27k-512rank
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.1`
+```yaml
+# model and tokenizer
+base_model: microsoft/Phi-3-mini-4k-instruct # change for model
+trust_remote_code: true
+sequence_len: 2048
+
+strict: false
+
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+bf16: auto
+pad_to_sequence_len: true
+save_safetensors: true
+
+
+datasets:
+  - path: verifiers-for-code/sampled_10k_from_27k
+    type: completion
+    field: text_nosys_phi
+    train_on_split: train
+
+val_set_size: 0.05
+
+# lora
+adapter: lora
+lora_r: 512
+lora_alpha: 32
+lora_dropout: 0.05
+lora_target_linear: true
+lora_modules_to_save:
+  - embed_tokens
+  - lm_head
+use_rslora: true
+
+# logging
+wandb_project: valeris
+wandb_name: phi3-nosys-gpt4ominiplans-27k-512rank
+
+output_dir: ./outputs/phi3-nosys-gpt4ominiplans-27k-512rank
+
+gradient_accumulation_steps: 2
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: true
+micro_batch_size: 2
+num_epochs: 1
+eval_batch_size: 2
+warmup_ratio: 0.05
+learning_rate: 5e-6
+lr_scheduler: cosine
+optimizer: adamw_torch
+
+hub_model_id: verifiers-for-code/phi3-nosys-gpt4ominiplans-27k-512rank
+push_to_hub: true
+hub_strategy: all_checkpoints
+hub_always_push: true
+evals_per_epoch: 8
+saves_per_epoch: 4
+logging_steps: 1
+# eval_table_size: 10
+# eval_max_new_tokens: 512
+
+tokens: ["<thinking>", "</thinking>", "<plan>", "</plan>"]
+
+special_tokens:
+  pad_token: "<|endoftext|>"
+
+```
+
+</details><br>
+
+# phi3-nosys-gpt4ominiplans-27k-512rank
+
+This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8553
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-06
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- total_eval_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 14
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.0833        | 0.0034 | 1    | 1.0330          |
+| 1.0118        | 0.1279 | 38   | 0.9947          |
+| 0.9884        | 0.2559 | 76   | 0.9393          |
+| 0.9277        | 0.3838 | 114  | 0.8987          |
+| 0.8411        | 0.5118 | 152  | 0.8723          |
+| 0.8863        | 0.6397 | 190  | 0.8590          |
+| 0.8637        | 0.7677 | 228  | 0.8557          |
+| 0.9009        | 0.8956 | 266  | 0.8553          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.44.0.dev0
+- Pytorch 2.4.0
+- Datasets 2.19.1
+- Tokenizers 0.19.1