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: 3.2659
+- Rouge1: 13.7437
+- Rouge2: 5.9153
+- Rougel: 13.4146
+
+## 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  |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|
+| 9.4301        | 1.0   | 625  | 3.5851          | 8.6109  | 2.4991 | 8.3173  |
+| 4.6907        | 2.0   | 1250 | 3.4105          | 11.1544 | 4.3475 | 10.7786 |
+| 4.1916        | 3.0   | 1875 | 3.3443          | 10.8192 | 3.848  | 10.44   |
+| 3.971         | 4.0   | 2500 | 3.3001          | 12.7096 | 5.0292 | 12.3085 |
+| 3.8402        | 5.0   | 3125 | 3.2788          | 12.1184 | 4.5893 | 11.7314 |
+| 3.7106        | 6.0   | 3750 | 3.2795          | 13.748  | 5.907  | 13.5413 |
+| 3.6523        | 7.0   | 4375 | 3.2702          | 13.6669 | 5.8956 | 13.3843 |
+| 3.6315        | 8.0   | 5000 | 3.2659          | 13.7437 | 5.9153 | 13.4146 |
+
+
+### 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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