Model save

README.md

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+---
+base_model: mistralai/Mistral-7B-Instruct-v0.3
+datasets:
+- generator
+library_name: peft
+license: apache-2.0
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: mistral_7b_cosine_lr
+  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. -->
+
+# mistral_7b_cosine_lr
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.3993
+
+## 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: 0.003
+- train_batch_size: 3
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 24
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- lr_scheduler_warmup_steps: 15
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 11.1885       | 0.0549 | 10   | 61.4970         |
+| 37.6512       | 0.1098 | 20   | 12.9405         |
+| 14.576        | 0.1647 | 30   | 27.9852         |
+| 9.5892        | 0.2196 | 40   | 6.4722          |
+| 7.7639        | 0.2745 | 50   | 6.8158          |
+| 6.3878        | 0.3294 | 60   | 6.3811          |
+| 6.6118        | 0.3844 | 70   | 5.9281          |
+| 6.006         | 0.4393 | 80   | 5.6753          |
+| 6.1011        | 0.4942 | 90   | 5.8083          |
+| 5.7396        | 0.5491 | 100  | 5.6193          |
+| 5.5128        | 0.6040 | 110  | 5.4848          |
+| 5.4599        | 0.6589 | 120  | 5.4267          |
+| 5.5193        | 0.7138 | 130  | 5.4757          |
+| 5.4488        | 0.7687 | 140  | 5.4422          |
+| 5.4257        | 0.8236 | 150  | 5.3845          |
+| 5.3938        | 0.8785 | 160  | 5.3727          |
+| 5.3937        | 0.9334 | 170  | 5.3646          |
+| 5.3916        | 0.9883 | 180  | 5.4825          |
+| 5.4217        | 1.0432 | 190  | 5.3534          |
+| 5.3915        | 1.0981 | 200  | 5.3497          |
+| 5.3656        | 1.1531 | 210  | 5.3416          |
+| 5.3718        | 1.2080 | 220  | 5.3691          |
+| 5.3763        | 1.2629 | 230  | 5.4102          |
+| 5.4039        | 1.3178 | 240  | 5.3993          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.45.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.0

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