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 the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.0319
+- Rouge1: 16.5297
+- Rouge2: 8.0695
+- Rougel: 16.2097
+- Rougelsum: 16.1294
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| 3.412         | 1.0   | 1209 | 3.1340          | 17.7742 | 8.512  | 17.0142 | 17.0204   |
+| 3.3927        | 2.0   | 2418 | 3.0678          | 16.8885 | 8.3578 | 16.5111 | 16.4484   |
+| 3.2559        | 3.0   | 3627 | 3.0782          | 15.7851 | 7.5518 | 15.4435 | 15.3263   |
+| 3.1684        | 4.0   | 4836 | 3.0287          | 15.6152 | 7.421  | 15.4312 | 15.3636   |
+| 3.1107        | 5.0   | 6045 | 3.0490          | 16.8609 | 8.0654 | 16.6694 | 16.6019   |
+| 3.0603        | 6.0   | 7254 | 3.0357          | 16.0716 | 7.5671 | 15.9592 | 15.8328   |
+| 3.024         | 7.0   | 8463 | 3.0307          | 16.7427 | 8.067  | 16.412  | 16.3441   |
+| 3.0099        | 8.0   | 9672 | 3.0319          | 16.5297 | 8.0695 | 16.2097 | 16.1294   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- 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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