Llama-2-CN
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4423
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3431 | 0.03 | 10 | 3.1212 |
| 2.8976 | 0.05 | 20 | 2.7770 |
| 2.6878 | 0.08 | 30 | 2.6526 |
| 2.6344 | 0.1 | 40 | 2.5690 |
| 2.5165 | 0.13 | 50 | 2.5212 |
| 2.5377 | 0.15 | 60 | 2.4917 |
| 2.4577 | 0.18 | 70 | 2.4712 |
| 2.4309 | 0.21 | 80 | 2.4562 |
| 2.3986 | 0.23 | 90 | 2.4465 |
| 2.4445 | 0.26 | 100 | 2.4423 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for VikrantRamesh/Llama-2-CN
Base model
meta-llama/Llama-2-7b-chat-hf