End of training
Browse files- README.md +7 -7
- logs/events.out.tfevents.1715161068.9d64bdbf39aa.27061.0 +3 -0
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [VietAI/ViT5-base](https://huggingface.co/VietAI/ViT5-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Bleu Score:
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- Gen Len: 13.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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| Training Loss | Epoch | Step | Validation Loss | Bleu Score | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:----------:|:-------:|
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| 0.
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### Framework versions
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This model is a fine-tuned version of [VietAI/ViT5-base](https://huggingface.co/VietAI/ViT5-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2250
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- Bleu Score: 73.5528
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- Gen Len: 13.2038
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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| Training Loss | Epoch | Step | Validation Loss | Bleu Score | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:----------:|:-------:|
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| 0.4321 | 1.0 | 524 | 0.2250 | 73.5528 | 13.2038 |
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### Framework versions
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logs/events.out.tfevents.1715161068.9d64bdbf39aa.27061.0
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model.safetensors
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