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: 3.0283
+- Rouge1: 17.0422
+- Rouge2: 8.2568
+- Rougel: 16.66
+- Rougelsum: 16.5239
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| 6.7874        | 1.0   | 1209 | 3.3081          | 13.7446 | 5.3855 | 13.3529 | 13.2457   |
+| 3.9088        | 2.0   | 2418 | 3.1782          | 16.248  | 8.6744 | 16.004  | 15.9224   |
+| 3.5883        | 3.0   | 3627 | 3.1074          | 17.7575 | 9.0039 | 17.3087 | 17.1618   |
+| 3.4174        | 4.0   | 4836 | 3.0686          | 17.1698 | 8.7835 | 16.8093 | 16.7039   |
+| 3.3103        | 5.0   | 6045 | 3.0487          | 16.4408 | 8.0018 | 16.0564 | 15.8923   |
+| 3.251         | 6.0   | 7254 | 3.0379          | 16.9722 | 8.2897 | 16.636  | 16.5131   |
+| 3.2022        | 7.0   | 8463 | 3.0252          | 17.3609 | 8.5806 | 17.0055 | 16.9507   |
+| 3.1725        | 8.0   | 9672 | 3.0283          | 17.0422 | 8.2568 | 16.66   | 16.5239   |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- 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": "4.45.2"
+}

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