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: 2.4213
+- Rouge1: 31.833
+- Rouge2: 11.5704
+- Rougel: 28.3537
+- Rougelsum: 29.7517
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 12.421        | 1.0   | 185  | 4.1761          | 8.5214  | 1.3412  | 8.1063  | 8.2251    |
+| 4.6683        | 2.0   | 370  | 2.8343          | 20.6485 | 7.1917  | 18.6741 | 19.4706   |
+| 3.6666        | 3.0   | 555  | 2.5616          | 20.3673 | 6.1998  | 18.2531 | 19.0305   |
+| 3.3157        | 4.0   | 740  | 2.5002          | 28.4326 | 11.0801 | 25.391  | 26.4882   |
+| 3.1834        | 5.0   | 925  | 2.4586          | 29.0975 | 11.3058 | 26.0004 | 27.5342   |
+| 3.0983        | 6.0   | 1110 | 2.4191          | 31.5865 | 11.3633 | 27.6063 | 29.6726   |
+| 3.0338        | 7.0   | 1295 | 2.4258          | 31.845  | 11.9743 | 28.3534 | 29.8196   |
+| 2.9805        | 8.0   | 1480 | 2.4213          | 31.833  | 11.5704 | 28.3537 | 29.7517   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.0
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.2"
+}

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