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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: mistralai/Mistral-7B-Instruct-v0.2 |
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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: IE_M2_1000steps_1e7rate_SFT |
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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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# IE_M2_1000steps_1e7rate_SFT |
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2801 |
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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: 1e-07 |
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- train_batch_size: 2 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 4 |
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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_steps: 100 |
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- training_steps: 1000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.8404 | 0.4 | 50 | 1.8454 | |
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| 1.6261 | 0.8 | 100 | 1.5552 | |
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| 1.4351 | 1.2 | 150 | 1.3280 | |
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| 1.3429 | 1.6 | 200 | 1.3033 | |
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| 1.3587 | 2.0 | 250 | 1.2943 | |
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| 1.3562 | 2.4 | 300 | 1.2894 | |
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| 1.3709 | 2.8 | 350 | 1.2861 | |
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| 1.2679 | 3.2 | 400 | 1.2843 | |
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| 1.3609 | 3.6 | 450 | 1.2828 | |
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| 1.2742 | 4.0 | 500 | 1.2819 | |
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| 1.3383 | 4.4 | 550 | 1.2812 | |
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| 1.296 | 4.8 | 600 | 1.2806 | |
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| 1.3159 | 5.2 | 650 | 1.2804 | |
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| 1.3007 | 5.6 | 700 | 1.2802 | |
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| 1.2311 | 6.0 | 750 | 1.2802 | |
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| 1.2871 | 6.4 | 800 | 1.2802 | |
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| 1.2652 | 6.8 | 850 | 1.2801 | |
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| 1.2764 | 7.2 | 900 | 1.2801 | |
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| 1.2565 | 7.6 | 950 | 1.2801 | |
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| 1.3073 | 8.0 | 1000 | 1.2801 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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