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hoa-7b-test-lora
This model is a fine-tuned version of vlsp-2023-vllm/hoa-7b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 12.4488
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 12.7539 | 1.0 | 401 | 12.4488 |
| 12.8935 | 2.0 | 802 | 12.4488 |
| 12.9284 | 3.0 | 1203 | 12.4488 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.14.1
