| | --- |
| | base_model: meta-llama/Meta-Llama-3.1-8B |
| | library_name: peft |
| | license: llama3.1 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: s5-L-3.1-8B-base |
| | results: [] |
| | datasets: |
| | - LLMsForHepth/hep-th_85_gr-qc_15 |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # s5-L-3.1-8B-base |
| |
|
| | This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) |
| | trained on the [LLMsForHepth/hep-th_85_gr-qc_15](https://huggingface.co/datasets/LLMsForHepth/hep-th_85_gr-qc_15) dataset. |
| |
|
| | ## 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: 5e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine_with_min_lr |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - num_epochs: 4 |
| |
|
| | ### Training results |
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|
| | ### Framework versions |
| |
|
| | - PEFT 0.12.0 |
| | - Transformers 4.45.2 |
| | - Pytorch 2.4.0+cu121 |
| | - Datasets 3.0.0 |
| | - Tokenizers 0.20.1 |
