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: 13.0523
+- Rouge1: 0.6901
+- Rouge2: 0.0
+- Rougel: 0.7131
+- Rougelsum: 0.6901
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 20.4138       | 1.0   | 11   | 17.0350         | 0.3221 | 0.0    | 0.3221 | 0.3221    |
+| 20.9666       | 2.0   | 22   | 15.8389         | 0.3221 | 0.0    | 0.3221 | 0.3221    |
+| 20.3285       | 3.0   | 33   | 14.7984         | 0.6901 | 0.0    | 0.7131 | 0.6901    |
+| 20.2575       | 4.0   | 44   | 13.7555         | 0.6901 | 0.0    | 0.7131 | 0.6901    |
+| 19.3567       | 5.0   | 55   | 13.0846         | 0.6901 | 0.0    | 0.7131 | 0.6901    |
+| 19.568        | 6.0   | 66   | 13.0045         | 0.6901 | 0.0    | 0.7131 | 0.6901    |
+| 18.6292       | 7.0   | 77   | 13.0753         | 0.3221 | 0.0    | 0.3221 | 0.3221    |
+| 18.4457       | 8.0   | 88   | 13.0523         | 0.6901 | 0.0    | 0.7131 | 0.6901    |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- 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": "4.46.3"
+}

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