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Llama-3.1-8B-Instruct-JudicialSummarization-sci-FirstLast-FinetuneMistral-7B
Hiranmai49/Llama-3.1-8B-Instruct-JudicialSummarization-sci-FirstLast-FinetuneMistral-7B
Llama-3.1-8B-Instruct-JudicialSummarization-sci-FirstLast-FinetuneMistral-7B is a machine learning model from Hiranmai49. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jan 22, 2025
- Updated
- Jan 22, 2025
- SHA
- cd9f8491
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
Llama-3.1-8B-Instruct-JudicialSummarization-sci-FirstLast-FinetuneMistral-7B
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.0217
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 24.2991 | 0.7179 | 500 | 6.0711 |
| 24.0506 | 1.4358 | 1000 | 6.0398 |
| 23.8724 | 2.1536 | 1500 | 6.0262 |
| 23.8321 | 2.8715 | 2000 | 6.0217 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.1
- Pytorch 2.4.0+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
- Library
- peft
- License
- apache-2.0
- Created
- Jan 22, 2025
- Updated
- Jan 22, 2025