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
+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: 2.0229
+- Bertscore Precision: 0.7189
+- Bertscore Recall: 0.6939
+- Bertscore F1: 0.7056
+
+## 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: 24
+- eval_batch_size: 24
+- seed: 42
+- optimizer: Use OptimizerNames.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 | Bertscore Precision | Bertscore Recall | Bertscore F1 |
+|:-------------:|:-----:|:-----:|:---------------:|:-------------------:|:----------------:|:------------:|
+| 2.5119        | 1.0   | 1557  | 2.2031          | 0.711               | 0.6852           | 0.6972       |
+| 2.5009        | 2.0   | 3114  | 2.1234          | 0.7154              | 0.6875           | 0.7005       |
+| 2.4158        | 3.0   | 4671  | 2.0854          | 0.7165              | 0.6914           | 0.7032       |
+| 2.3603        | 4.0   | 6228  | 2.0629          | 0.7166              | 0.6911           | 0.703        |
+| 2.3206        | 5.0   | 7785  | 2.0451          | 0.7191              | 0.6934           | 0.7054       |
+| 2.2938        | 6.0   | 9342  | 2.0328          | 0.718               | 0.6934           | 0.7049       |
+| 2.2718        | 7.0   | 10899 | 2.0253          | 0.7191              | 0.6944           | 0.706        |
+| 2.2622        | 8.0   | 12456 | 2.0229          | 0.7189              | 0.6939           | 0.7056       |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.7.1+cu118
+- Datasets 2.14.6
+- Tokenizers 0.21.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.48.3"
+}

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