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--- |
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base_model: unsloth/mistral-7b-bnb-4bit |
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library_name: peft |
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license: apache-2.0 |
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tags: |
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- trl |
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- sft |
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- unsloth |
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- generated_from_trainer |
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model-index: |
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- name: judicial-summarization-mistral7b-3-finetuned_sci-headnotes_maxData |
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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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# judicial-summarization-mistral7b-3-finetuned_sci-headnotes_maxData |
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This model is a fine-tuned version of [unsloth/mistral-7b-bnb-4bit](https://huggingface.co/unsloth/mistral-7b-bnb-4bit) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7640 |
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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: 3407 |
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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: linear |
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- lr_scheduler_warmup_steps: 5 |
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- num_epochs: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.9986 | 1.0 | 726 | 1.1605 | |
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| 1.1377 | 2.0 | 1452 | 1.1562 | |
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| 0.8611 | 3.0 | 2178 | 1.2047 | |
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| 0.6421 | 4.0 | 2904 | 1.3200 | |
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| 0.4458 | 5.0 | 3630 | 1.5051 | |
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| 0.2914 | 6.0 | 4356 | 1.7640 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
