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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: 3.0193
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+ - Rouge1: 17.1639
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+ - Rouge2: 8.3005
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+ - Rougel: 16.8294
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+ - Rougelsum: 16.8084
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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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+ | 3.6768 | 1.0 | 1209 | 3.2182 | 17.7771 | 9.2416 | 17.1971 | 17.2872 |
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+ | 3.6447 | 2.0 | 2418 | 3.1029 | 17.4703 | 8.7095 | 16.9938 | 16.9346 |
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+ | 3.4304 | 3.0 | 3627 | 3.0759 | 15.8554 | 7.5643 | 15.2637 | 15.2583 |
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+ | 3.3128 | 4.0 | 4836 | 3.0706 | 17.0706 | 8.7201 | 16.7226 | 16.6156 |
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+ | 3.2203 | 5.0 | 6045 | 3.0339 | 16.5228 | 7.6729 | 16.0783 | 15.9614 |
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+ | 3.1651 | 6.0 | 7254 | 3.0283 | 16.5121 | 7.9439 | 16.1227 | 16.0756 |
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+ | 3.1387 | 7.0 | 8463 | 3.0188 | 16.6558 | 8.1024 | 16.3989 | 16.39 |
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+ | 3.1139 | 8.0 | 9672 | 3.0193 | 17.1639 | 8.3005 | 16.8294 | 16.8084 |
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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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+ "pad_token_id": 0,
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+ "transformers_version": "4.46.2"
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+ }
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