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Hiranmai49/judicial-summarization-Mistral-finetuned_FL

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README.md ADDED
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+ ---
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+ base_model: unsloth/mistral-7b-v0.3-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-Mistral-finetuned_FL
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+ results: []
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+ ---
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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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+
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+ # judicial-summarization-Mistral-finetuned_FL
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+
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+ This model is a fine-tuned version of [unsloth/mistral-7b-v0.3-bnb-4bit](https://huggingface.co/unsloth/mistral-7b-v0.3-bnb-4bit) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.8494
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.1209 | 1.0 | 726 | 1.2393 |
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+ | 1.2144 | 2.0 | 1452 | 1.2337 |
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+ | 0.9173 | 3.0 | 2178 | 1.2850 |
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+ | 0.694 | 4.0 | 2904 | 1.4016 |
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+ | 0.4992 | 5.0 | 3630 | 1.5871 |
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+ | 0.3276 | 6.0 | 4356 | 1.8494 |
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+
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+
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+ ### Framework versions
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+
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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
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