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--- |
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base_model: unsloth/llama-3-8b-bnb-4bit |
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library_name: peft |
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license: llama3 |
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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-llama-3-finetuned_mildsum_FL |
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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-llama-3-finetuned_mildsum_FL |
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This model is a fine-tuned version of [unsloth/llama-3-8b-bnb-4bit](https://huggingface.co/unsloth/llama-3-8b-bnb-4bit) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7972 |
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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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| 1.3073 | 0.9991 | 273 | 1.4746 | |
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| 1.3533 | 1.9982 | 546 | 1.4690 | |
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| 1.1871 | 2.9973 | 819 | 1.5012 | |
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| 1.008 | 4.0 | 1093 | 1.5703 | |
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| 0.8119 | 4.9991 | 1366 | 1.6773 | |
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| 0.6565 | 5.9945 | 1638 | 1.7972 | |
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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 |
