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--- |
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license: apache-2.0 |
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library_name: peft |
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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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base_model: mistralai/Mistral-7B-Instruct-v0.2 |
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datasets: |
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- generator |
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model-index: |
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- name: Mistral_Sentiment_Classification_2024-06-01 |
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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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# Mistral_Sentiment_Classification_2024-06-01 |
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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 the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2992 |
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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: 2.5e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 0.03 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.4525 | 0.1126 | 100 | 0.3376 | |
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| 0.3445 | 0.2252 | 200 | 0.3210 | |
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| 0.3244 | 0.3378 | 300 | 0.3147 | |
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| 0.3012 | 0.4505 | 400 | 0.3101 | |
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| 0.3169 | 0.5631 | 500 | 0.3069 | |
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| 0.3357 | 0.6757 | 600 | 0.3045 | |
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| 0.31 | 0.7883 | 700 | 0.3027 | |
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| 0.3146 | 0.9009 | 800 | 0.3008 | |
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| 0.2868 | 1.0135 | 900 | 0.2988 | |
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| 0.2881 | 1.1261 | 1000 | 0.2988 | |
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| 0.3123 | 1.2387 | 1100 | 0.2972 | |
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| 0.2796 | 1.3514 | 1200 | 0.2960 | |
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| 0.2865 | 1.4640 | 1300 | 0.2943 | |
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| 0.2906 | 1.5766 | 1400 | 0.2929 | |
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| 0.2713 | 1.6892 | 1500 | 0.2919 | |
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| 0.2751 | 1.8018 | 1600 | 0.2906 | |
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| 0.2916 | 1.9144 | 1700 | 0.2895 | |
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| 0.264 | 2.0270 | 1800 | 0.2917 | |
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| 0.2603 | 2.1396 | 1900 | 0.2919 | |
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| 0.2486 | 2.2523 | 2000 | 0.2917 | |
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| 0.2583 | 2.3649 | 2100 | 0.2910 | |
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| 0.2556 | 2.4775 | 2200 | 0.2905 | |
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| 0.2629 | 2.5901 | 2300 | 0.2897 | |
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| 0.2423 | 2.7027 | 2400 | 0.2894 | |
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| 0.256 | 2.8153 | 2500 | 0.2889 | |
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| 0.2664 | 2.9279 | 2600 | 0.2881 | |
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| 0.2595 | 3.0405 | 2700 | 0.2933 | |
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| 0.2297 | 3.1532 | 2800 | 0.2955 | |
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| 0.239 | 3.2658 | 2900 | 0.2940 | |
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| 0.2363 | 3.3784 | 3000 | 0.2929 | |
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| 0.2295 | 3.4910 | 3100 | 0.2937 | |
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| 0.2438 | 3.6036 | 3200 | 0.2923 | |
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| 0.2226 | 3.7162 | 3300 | 0.2920 | |
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| 0.2473 | 3.8288 | 3400 | 0.2924 | |
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| 0.2314 | 3.9414 | 3500 | 0.2919 | |
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| 0.2218 | 4.0541 | 3600 | 0.2985 | |
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| 0.218 | 4.1667 | 3700 | 0.2994 | |
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| 0.2154 | 4.2793 | 3800 | 0.2994 | |
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| 0.2032 | 4.3919 | 3900 | 0.2994 | |
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| 0.2234 | 4.5045 | 4000 | 0.2996 | |
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| 0.224 | 4.6171 | 4100 | 0.2995 | |
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| 0.1978 | 4.7297 | 4200 | 0.2997 | |
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| 0.2204 | 4.8423 | 4300 | 0.3000 | |
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| 0.2114 | 4.9550 | 4400 | 0.2992 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
