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llama-3.1-8b-sft-full_noisy_2.0_bon-sft
pragsri8/llama-3.1-8b-sft-full_noisy_2.0_bon-sft
llama-3.1-8b-sft-full_noisy_2.0_bon-sft is a text generation model from pragsri8. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- llama
- Access
- Public
- Created
- Apr 10, 2025
- Updated
- Apr 11, 2025
- SHA
- 434379f2
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Datasets
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-sft-full_noisy_2.0_bon-sft
This model was trained from scratch on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.3242
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3487 | 1.0 | 57 | 1.3242 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- Created
- Apr 10, 2025
- Updated
- Apr 11, 2025