vimo-1.3B
This model is a fine-tuned version of VietAI/gpt-neo-1.3B-vietnamese-news on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0732
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 512
- total_train_batch_size: 1024
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0784 | 1.0 | 792 | 1.0781 |
| 1.0578 | 1.1 | 872 | 1.0732 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for thangvip/vimo-1.3B
Base model
VietAI/gpt-neo-1.3B-vietnamese-news