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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-v0.1 |
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datasets: |
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- generator |
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model-index: |
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- name: Mistral-7B-v0.1_Emotion |
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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-7B-v0.1_Emotion |
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the generator dataset. |
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## Model description |
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Article: https://ai.plainenglish.io/fine-tuning-the-mistral-7b-instruct-v0-1-model-with-the-emotion-dataset-c84c50b553dc |
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Fine tunning: https://github.com/frank-morales2020/MLxDL/blob/main/FineTuning_Mistral_7b_hfdeployment_dataset_Emotion.ipynb |
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Evaluation: https://github.com/frank-morales2020/MLxDL/blob/main/FineTunning_Testing_For_EmotionQADataset.ipynb |
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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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Evaluation: https://github.com/frank-morales2020/MLxDL/blob/main/FineTunning_Testing_For_EmotionQADataset.ipynb |
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The following hyperparameters were used during training: |
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learning_rate: 0.0002 train_batch_size: 3 eval_batch_size: 8 seed: 42 |
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gradient_accumulation_steps: 2 total_train_batch_size: 6 |
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optimizer: Adam with betas=(0.9,0.999) |
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and epsilon=1e-08 lr_scheduler_type: constant lr_scheduler_warmup_ratio: 0.03 |
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num_epochs: 1 |
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Accuracy (Eval dataset and predict) for a sample of 2000: 59.45% |
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num_epochs: 25 |
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Accuracy (Eval dataset and predict) for a sample of 2000: 79.95% |
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num_epochs: 40 |
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Accuracy (Eval dataset and predict) for a sample of 2000: 80.70% |
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num_epochs: 40 |
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Accuracy (Eval dataset and predict) for a sample of 2000: 80% |
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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: 0.0002 |
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- train_batch_size: 3 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 6 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 100 |
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### Training results |
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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 2.19.2 |
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- Tokenizers 0.19.1 |
