Training complete
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README.md
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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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<!-- 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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# mt5-small-finetuned-amazon-en-es
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.0317
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- Rouge1: 17.2998
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- Rouge2: 8.514
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- Rougel: 16.7839
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- Rougelsum: 16.7295
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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 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: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
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| 7.1025 | 1.0 | 1209 | 3.3149 | 14.7066 | 5.6469 | 14.2918 | 14.2422 |
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| 3.9339 | 2.0 | 2418 | 3.1875 | 14.9552 | 7.4879 | 14.6933 | 14.7511 |
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| 3.6066 | 3.0 | 3627 | 3.1181 | 16.5524 | 8.1899 | 15.8521 | 15.9021 |
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| 3.4249 | 4.0 | 4836 | 3.0716 | 17.8867 | 9.6131 | 17.3769 | 17.2952 |
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| 3.3141 | 5.0 | 6045 | 3.0495 | 16.3503 | 8.0257 | 16.0782 | 15.9745 |
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| 3.2545 | 6.0 | 7254 | 3.0398 | 17.4253 | 8.6171 | 16.9486 | 16.9007 |
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| 3.2059 | 7.0 | 8463 | 3.0272 | 17.4573 | 8.4029 | 17.0702 | 17.0073 |
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| 3.1763 | 8.0 | 9672 | 3.0317 | 17.2998 | 8.514 | 16.7839 | 16.7295 |
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### Framework versions
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- Transformers 4.52.4
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- Pytorch 2.6.0+cu124
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- Datasets 3.6.0
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- Tokenizers 0.21.1
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generation_config.json
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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": "4.52.4"
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}
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runs/Jun24_08-27-34_13a782d7de9d/events.out.tfevents.1750753673.13a782d7de9d.730.0
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runs/Jun24_08-27-34_13a782d7de9d/events.out.tfevents.1750755137.13a782d7de9d.730.1
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