base_model: meta-llama/Llama-2-7b-hf | |
tags: | |
- trl | |
- sft | |
- generated_from_trainer | |
model-index: | |
- name: sft_outputs | |
results: [] | |
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# sft_outputs | |
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown 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: 4e-05 | |
- train_batch_size: 1 | |
- eval_batch_size: 8 | |
- seed: 5678 | |
- gradient_accumulation_steps: 4 | |
- total_train_batch_size: 4 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- lr_scheduler_warmup_steps: 5 | |
- num_epochs: 3 | |
- mixed_precision_training: Native AMP | |
### Training results | |
### Framework versions | |
- Transformers 4.38.1 | |
- Pytorch 2.2.1+cu121 | |
- Datasets 2.17.0 | |
- Tokenizers 0.15.2 | |