base_model: meta-llama/Llama-2-7b-chat-hf | |
tags: | |
- generated_from_trainer | |
model-index: | |
- name: results | |
results: [] | |
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# results | |
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on an unknown dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.7163 | |
## 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: 0.0002 | |
- train_batch_size: 4 | |
- eval_batch_size: 8 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: constant | |
- lr_scheduler_warmup_ratio: 0.03 | |
- num_epochs: 1 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | | |
|:-------------:|:-----:|:----:|:---------------:| | |
| 0.8263 | 0.24 | 70 | 0.7693 | | |
| 0.6035 | 0.48 | 140 | 0.7467 | | |
| 0.845 | 0.72 | 210 | 0.7347 | | |
| 0.5782 | 0.96 | 280 | 0.7163 | | |
### Framework versions | |
- Transformers 4.35.2 | |
- Pytorch 2.1.0+cu118 | |
- Datasets 2.15.0 | |
- Tokenizers 0.15.0 | |