Training complete

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mt5-small-finetuned-amazon-en-es
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# mt5-small-finetuned-amazon-en-es
+
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.0360
+- Rouge1: 0.1681
+- Rouge2: 0.0806
+- Rougel: 0.1659
+- Rougelsum: 0.1644
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5.6e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 1.4116        | 1.0   | 1209 | 4.7712          | 0.1894 | 0.0970 | 0.1849 | 0.1842    |
+| 3.6196        | 2.0   | 2418 | 3.1344          | 0.1705 | 0.0797 | 0.1666 | 0.1668    |
+| 3.3503        | 3.0   | 3627 | 3.0873          | 0.1665 | 0.0733 | 0.1629 | 0.1623    |
+| 3.2243        | 4.0   | 4836 | 3.0761          | 0.1676 | 0.0763 | 0.1654 | 0.1640    |
+| 3.133         | 5.0   | 6045 | 3.0613          | 0.1732 | 0.0816 | 0.1710 | 0.1696    |
+| 3.0915        | 6.0   | 7254 | 3.0364          | 0.1623 | 0.0775 | 0.1603 | 0.1599    |
+| 3.0527        | 7.0   | 8463 | 3.0387          | 0.1709 | 0.0826 | 0.1691 | 0.1680    |
+| 3.0343        | 8.0   | 9672 | 3.0360          | 0.1681 | 0.0806 | 0.1659 | 0.1644    |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.5.0
+- Datasets 3.3.2
+- Tokenizers 0.21.0

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.51.3"
+}

model.safetensors

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