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End of training

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  1. README.md +73 -0
  2. generation_config.json +6 -0
  3. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: mit
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+ base_model: VietAI/vit5-large
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - sacrebleu
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+ model-index:
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+ - name: BaViT5_v2
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # BaViT5_v2
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+
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+ This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI/vit5-large) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4562
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+ - Sacrebleu: 15.4902
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 15
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
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+ |:-------------:|:-----:|:-----:|:---------------:|:---------:|
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+ | 0.5323 | 1.0 | 2966 | 0.4843 | 10.8807 |
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+ | 0.4426 | 2.0 | 5932 | 0.4266 | 13.2481 |
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+ | 0.3629 | 3.0 | 8898 | 0.4084 | 14.2709 |
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+ | 0.3321 | 4.0 | 11864 | 0.4032 | 14.8016 |
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+ | 0.286 | 5.0 | 14830 | 0.4061 | 15.1102 |
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+ | 0.2528 | 6.0 | 17796 | 0.4160 | 15.2808 |
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+ | 0.2235 | 7.0 | 20762 | 0.4270 | 15.4345 |
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+ | 0.2018 | 8.0 | 23728 | 0.4400 | 15.4360 |
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+ | 0.1856 | 9.0 | 26694 | 0.4562 | 15.4902 |
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+ | 0.1639 | 10.0 | 29660 | 0.4705 | 15.4167 |
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+ | 0.1565 | 11.0 | 32626 | 0.4886 | 15.4478 |
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+ | 0.1392 | 12.0 | 35592 | 0.5035 | 15.4189 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.48.1
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
generation_config.json ADDED
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+ {
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+ "decoder_start_token_id": 0,
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+ "eos_token_id": 1,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.48.1"
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+ }
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