fine_tune_demo_bloom1b4_20May_GPU3090
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: 2.0586
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.1488 | 1.0 | 1826 | 2.1142 |
2.0952 | 2.0 | 3652 | 2.0732 |
2.0733 | 3.0 | 5478 | 2.0586 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 1.13.0+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for Kudod/fine_tune_demo_bloom1b4_20May_GPU3090
Base model
vlsp-2023-vllm/hoa-1b4