vinallama-7b-legal-chat
This model is a fine-tuned version of vilm/vinallama-7b on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.5088
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: 8
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 16
- total_train_batch_size: 512
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8228 | 1.0 | 87 | 0.6192 |
| 0.712 | 2.0 | 174 | 0.5088 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for thanhdath/vinallama-7b-legal-chat
Base model
vilm/vinallama-7b