Training complete

README.md

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+---
+library_name: transformers
+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: 3.0056
+- Rouge1: 16.1556
+- Rouge2: 8.8085
+- Rougel: 15.8019
+- Rougelsum: 15.7787
+
+## 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 adamw_torch_fused 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| 6.9474        | 1.0   | 1399  | 3.3187          | 11.4251 | 4.57   | 10.9308 | 10.7649   |
+| 3.892         | 2.0   | 2798  | 3.1469          | 13.4445 | 6.2409 | 13.013  | 12.9006   |
+| 3.5863        | 3.0   | 4197  | 3.0734          | 15.1812 | 8.3203 | 14.7922 | 14.7632   |
+| 3.4229        | 4.0   | 5596  | 3.0587          | 16.1014 | 8.4524 | 15.8047 | 15.7134   |
+| 3.326         | 5.0   | 6995  | 3.0234          | 17.153  | 9.3495 | 16.6487 | 16.564    |
+| 3.2622        | 6.0   | 8394  | 3.0144          | 15.5588 | 8.1691 | 15.275  | 15.2065   |
+| 3.2163        | 7.0   | 9793  | 3.0139          | 15.8487 | 8.6641 | 15.548  | 15.511    |
+| 3.1948        | 8.0   | 11192 | 3.0056          | 16.1556 | 8.8085 | 15.8019 | 15.7787   |
+
+
+### Framework versions
+
+- Transformers 4.55.4
+- Pytorch 2.8.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.21.4

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.55.4"
+}

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