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: 16.6574
+- Rouge2: 7.6087
+- Rougel: 16.1121
+- Rougelsum: 15.9789
+
+## 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          | 15.3405 | 6.9182 | 14.865  | 14.7651   |
+| 3.8997        | 2.0   | 2418 | 3.1665          | 16.2945 | 7.6832 | 15.7433 | 15.6692   |
+| 3.5826        | 3.0   | 3627 | 3.1106          | 17.1601 | 8.4608 | 16.5709 | 16.3502   |
+| 3.421         | 4.0   | 4836 | 3.0963          | 17.3293 | 8.7427 | 16.8713 | 16.7387   |
+| 3.3089        | 5.0   | 6045 | 3.0490          | 16.7504 | 7.5971 | 16.138  | 16.072    |
+| 3.2437        | 6.0   | 7254 | 3.0401          | 16.7586 | 7.8912 | 16.0112 | 15.8733   |
+| 3.2133        | 7.0   | 8463 | 3.0292          | 16.3509 | 7.6271 | 15.9685 | 15.827    |
+| 3.1851        | 8.0   | 9672 | 3.0303          | 16.6574 | 7.6087 | 16.1121 | 15.9789   |
+
+
+### 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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