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README.md
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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: cls_sentiment_mistral_v1
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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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# cls_sentiment_mistral_v1
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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: 0.5972
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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: 0.0002
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 8
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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: 2
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.7365 | 0.1986 | 50 | 0.7344 |
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| 0.6778 | 0.3972 | 100 | 0.6852 |
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| 0.6548 | 0.5958 | 150 | 0.6588 |
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| 0.6728 | 0.7944 | 200 | 0.6333 |
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| 0.6148 | 0.9930 | 250 | 0.6106 |
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| 0.43 | 1.1917 | 300 | 0.6174 |
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| 0.4575 | 1.3903 | 350 | 0.6081 |
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| 0.4225 | 1.5889 | 400 | 0.6058 |
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| 0.4136 | 1.7875 | 450 | 0.5976 |
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| 0.441 | 1.9861 | 500 | 0.5972 |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.41.0
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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