Quantization made by Richard Erkhov.
Llama-2-7b-chat-hf - bnb 8bits
- Model creator: https://huggingface.co/ArashMarandi/
- Original model: https://huggingface.co/ArashMarandi/Llama-2-7b-chat-hf/
Original model description:
library_name: transformers license: mit base_model: EleutherAI/gpt-neo-1.3B tags: - generated_from_trainer model-index: - name: Llama-2-7b-chat-hf results: []
Llama-2-7b-chat-hf
This model is a fine-tuned version of EleutherAI/gpt-neo-1.3B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1051
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: 1
- eval_batch_size: 1
- seed: 42
- 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
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 5 | 1.3871 |
| 3.5512 | 2.0 | 10 | 0.1261 |
| 3.5512 | 3.0 | 15 | 0.1115 |
| 0.1406 | 4.0 | 20 | 0.1050 |
| 0.1406 | 5.0 | 25 | 0.1016 |
| 0.0738 | 6.0 | 30 | 0.0973 |
| 0.0738 | 7.0 | 35 | 0.0974 |
| 0.0526 | 8.0 | 40 | 0.0992 |
| 0.0526 | 9.0 | 45 | 0.1030 |
| 0.025 | 10.0 | 50 | 0.1045 |
| 0.025 | 11.0 | 55 | 0.1055 |
| 0.0224 | 12.0 | 60 | 0.1059 |
| 0.0224 | 13.0 | 65 | 0.1054 |
| 0.0134 | 14.0 | 70 | 0.1051 |
| 0.0134 | 15.0 | 75 | 0.1051 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1