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hoa1b4_finetuned_kc_June25th
This model is a fine-tuned version of vlsp-2023-vllm/hoa-1b4 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4897
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: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0194 | 1.0 | 788 | 0.8371 |
| 0.6667 | 2.0 | 1576 | 0.6302 |
| 0.4821 | 3.0 | 2364 | 0.5443 |
| 0.3908 | 4.0 | 3152 | 0.5020 |
| 0.3424 | 5.0 | 3940 | 0.4897 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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