bloom-1b4_finetuned_kc_April18th
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: 1.9068
Model description
More information needed
Intended uses & limitations
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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 |
|---|---|---|---|
| 2.1287 | 1.0 | 10 | 2.0248 |
| 1.9747 | 2.0 | 20 | 1.9837 |
| 1.8493 | 3.0 | 30 | 1.9446 |
| 1.7458 | 4.0 | 40 | 1.9171 |
| 1.6888 | 5.0 | 50 | 1.9068 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 1.13.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.2
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Base model
vlsp-2023-vllm/hoa-1b4