Simple_Translation-model-for-GPT-v6
This model is a fine-tuned version of Dhahlan2000/Simple_Translation-model-for-GPT-v5 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7266
- Bleu: 8.8015
- Gen Len: 18.5845
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.0639 | 1.0 | 6188 | 0.7879 | 8.263 | 18.5995 |
| 0.9675 | 2.0 | 12376 | 0.7266 | 8.8015 | 18.5845 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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