Training complete

README.md

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+---
+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: 3.8946
+- Rouge1: 0.0918
+- Rouge2: 0.0167
+- Rougel: 0.0876
+- Rougelsum: 0.0856
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 19.0313       | 1.0   | 80   | 6.9781          | 0.0159 | 0.0    | 0.0143 | 0.0159    |
+| 12.6263       | 2.0   | 160  | 5.4246          | 0.0355 | 0.0    | 0.0230 | 0.0230    |
+| 9.6692        | 3.0   | 240  | 4.8658          | 0.0264 | 0.0    | 0.0202 | 0.0202    |
+| 7.5987        | 4.0   | 320  | 4.4427          | 0.0624 | 0.0333 | 0.0613 | 0.0605    |
+| 6.6653        | 5.0   | 400  | 4.1524          | 0.0644 | 0.0    | 0.0574 | 0.0579    |
+| 6.1087        | 6.0   | 480  | 4.0012          | 0.0990 | 0.0167 | 0.0943 | 0.0935    |
+| 5.8293        | 7.0   | 560  | 3.9214          | 0.0918 | 0.0167 | 0.0876 | 0.0856    |
+| 5.8101        | 8.0   | 640  | 3.8946          | 0.0918 | 0.0167 | 0.0876 | 0.0856    |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.42.4"
+}

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