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Llama-3.1-8B-Instruct-contracts-ContinuedPretrainingLlama3.18b
Hiranmai49/Llama-3.1-8B-Instruct-contracts-ContinuedPretrainingLlama3.18b
Llama-3.1-8B-Instruct-contracts-ContinuedPretrainingLlama3.18b 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 llama3.1.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama3.1
- Access
- Public
- Created
- Jan 31, 2025
- Updated
- Jan 31, 2025
- SHA
- 5b5e88c4
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-contracts-ContinuedPretrainingLlama3.18b
This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6631
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: 6000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4333 | 0.0024 | 500 | 1.7135 |
| 1.346 | 0.0048 | 1000 | 1.7070 |
| 1.3545 | 0.0073 | 1500 | 1.6973 |
| 1.331 | 0.0097 | 2000 | 1.6867 |
| 1.3407 | 0.0121 | 2500 | 1.6783 |
| 1.2654 | 0.0145 | 3000 | 1.6832 |
| 1.278 | 0.0170 | 3500 | 1.6673 |
| 1.234 | 0.0194 | 4000 | 1.6700 |
| 1.2464 | 0.0218 | 4500 | 1.6675 |
| 1.2513 | 0.0242 | 5000 | 1.6619 |
| 1.2718 | 0.0266 | 5500 | 1.6640 |
| 1.2506 | 0.0291 | 6000 | 1.6631 |
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
- llama3.1
- Created
- Jan 31, 2025
- Updated
- Jan 31, 2025