sauc-abadal-lloret
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Training complete
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README.md
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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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:
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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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- num_epochs: 4
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- mixed_precision_training: Native AMP
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### Training results
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- Transformers 4.44.2
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- Pytorch 2.4.0+cu121
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- Datasets
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- Tokenizers 0.19.1
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.3696
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- Model Preparation Time: 0.0085
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- Rouge1: 19.7992
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- Rouge2: 5.6898
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- Rougel: 16.7802
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- Rougelsum: 16.7497
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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: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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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- num_epochs: 4
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### Training results
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- Transformers 4.44.2
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- Pytorch 2.4.0+cu121
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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runs/Sep17_07-22-14_817911b27cd9/events.out.tfevents.1726560360.817911b27cd9.490.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:fe05177f314ad86c98371dd658177829741d0f901c25ed34ccc3ce082e152d00
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size 628
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