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: 3.2830
+- Rouge1: 15.06
+- Rouge2: 6.78
+- Rougel: 14.55
+- Rougelsum: 14.52
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| No log        | 1.0   | 125  | 3.2940          | 14.93  | 6.52   | 14.68  | 14.68     |
+| No log        | 2.0   | 250  | 3.2848          | 14.36  | 6.32   | 13.93  | 13.9      |
+| No log        | 3.0   | 375  | 3.2891          | 14.01  | 6.4    | 13.68  | 13.61     |
+| No log        | 4.0   | 500  | 3.2786          | 14.26  | 6.35   | 13.87  | 13.83     |
+| No log        | 5.0   | 625  | 3.2825          | 14.55  | 5.54   | 14.17  | 14.14     |
+| No log        | 6.0   | 750  | 3.2934          | 14.16  | 6.38   | 13.81  | 13.78     |
+| No log        | 7.0   | 875  | 3.2830          | 14.83  | 6.67   | 14.43  | 14.39     |
+| No log        | 8.0   | 1000 | 3.2830          | 15.06  | 6.78   | 14.55  | 14.52     |
+
+
+### 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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