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 an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.0303
+- Rouge1: 16.5951
+- Rouge2: 7.6416
+- Rougel: 16.0871
+- Rougelsum: 16.0029
+
+## 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 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| 6.9675        | 1.0   | 1209 | 3.2986          | 15.3916 | 6.8734 | 14.8161 | 14.7319   |
+| 3.8997        | 2.0   | 2418 | 3.1665          | 16.2801 | 7.7394 | 15.7055 | 15.7013   |
+| 3.5826        | 3.0   | 3627 | 3.1106          | 17.0462 | 8.4851 | 16.5069 | 16.4118   |
+| 3.421         | 4.0   | 4836 | 3.0963          | 17.235  | 8.8167 | 16.7472 | 16.7047   |
+| 3.3089        | 5.0   | 6045 | 3.0490          | 16.6744 | 7.6767 | 16.1951 | 16.098    |
+| 3.2437        | 6.0   | 7254 | 3.0401          | 16.6011 | 7.9461 | 16.0163 | 15.9111   |
+| 3.2133        | 7.0   | 8463 | 3.0292          | 16.2951 | 7.6564 | 15.9059 | 15.857    |
+| 3.1851        | 8.0   | 9672 | 3.0303          | 16.5951 | 7.6416 | 16.0871 | 16.0029   |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.46.2"
+}

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