hoa1b4_finetuned_kc_June26th_2
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: 0.3239
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9806 | 1.0 | 788 | 0.7371 |
| 0.6085 | 2.0 | 1576 | 0.5231 |
| 0.4215 | 3.0 | 2364 | 0.4239 |
| 0.3259 | 4.0 | 3152 | 0.3719 |
| 0.2655 | 5.0 | 3940 | 0.3512 |
| 0.2249 | 6.0 | 4728 | 0.3325 |
| 0.1938 | 7.0 | 5516 | 0.3259 |
| 0.171 | 8.0 | 6304 | 0.3247 |
| 0.1534 | 9.0 | 7092 | 0.3209 |
| 0.1412 | 10.0 | 7880 | 0.3239 |
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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Base model
vlsp-2023-vllm/hoa-1b4