s2-L-3.1-8B-base
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B trained on the LLMsForHepth/hep-ph_gr-qc_primary 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
Framework versions
- PEFT 0.11.0
- Transformers 4.44.2
- Pytorch 2.3.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for LLMsForHepth/s2-L-3.1-8B-base
Base model
meta-llama/Llama-3.1-8B