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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_finred_mistral_v3
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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_finred_mistral_v3
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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: 0.3611
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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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| 0.5967 | 0.2078 | 20 | 0.5789 |
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| 0.5197 | 0.4156 | 40 | 0.5051 |
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| 0.4935 | 0.6234 | 60 | 0.4666 |
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| 0.4578 | 0.8312 | 80 | 0.4321 |
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| 0.3612 | 1.0390 | 100 | 0.4260 |
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| 0.2677 | 1.2468 | 120 | 0.4025 |
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| 0.2903 | 1.4545 | 140 | 0.3849 |
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| 0.2601 | 1.6623 | 160 | 0.3734 |
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| 0.2541 | 1.8701 | 180 | 0.3611 |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.41.1
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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
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