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Training complete

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: google/mt5-small
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+ tags:
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+ - summarization
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+ - generated_from_trainer
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: mt5-small-finetuned-amazon-en-es
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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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+ # mt5-small-finetuned-amazon-en-es
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+
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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: 3.2696
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+ - Rouge1: 18.0077
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+ - Rouge2: 8.9356
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+ - Rougel: 17.0726
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+ - Rougelsum: 17.49
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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: 5.6e-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: Use 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: 8
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
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+ | 2.9554 | 1.0 | 771 | 3.4803 | 15.042 | 7.3797 | 14.3849 | 14.6833 |
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+ | 3.4215 | 2.0 | 1542 | 3.3163 | 18.4061 | 9.6431 | 17.5021 | 17.7826 |
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+ | 3.291 | 3.0 | 2313 | 3.2730 | 17.2129 | 9.3229 | 16.4817 | 16.7271 |
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+ | 3.2173 | 4.0 | 3084 | 3.2753 | 18.8265 | 9.6163 | 17.8975 | 18.2779 |
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+ | 3.1352 | 5.0 | 3855 | 3.2602 | 18.1662 | 8.848 | 17.3152 | 17.6519 |
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+ | 3.0988 | 6.0 | 4626 | 3.2715 | 17.8952 | 9.1387 | 16.9838 | 17.4692 |
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+ | 3.0745 | 7.0 | 5397 | 3.2663 | 17.5901 | 8.517 | 16.636 | 17.0347 |
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+ | 3.0408 | 8.0 | 6168 | 3.2696 | 18.0077 | 8.9356 | 17.0726 | 17.49 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.2
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
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+ "transformers_version": "4.46.2"
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+ }
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