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: 3.0193
+- Rouge1: 17.0896
+- Rouge2: 8.362
+- Rougel: 16.735
+- Rougelsum: 16.8131
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| 3.6768        | 1.0   | 1209 | 3.2182          | 17.7059 | 9.3629 | 17.1633 | 17.2774   |
+| 3.6447        | 2.0   | 2418 | 3.1029          | 17.4241 | 8.8479 | 16.9706 | 16.9578   |
+| 3.4304        | 3.0   | 3627 | 3.0759          | 15.8371 | 7.5702 | 15.2312 | 15.3302   |
+| 3.3128        | 4.0   | 4836 | 3.0706          | 16.9745 | 8.7666 | 16.559  | 16.6638   |
+| 3.2203        | 5.0   | 6045 | 3.0339          | 16.3788 | 7.769  | 15.9624 | 16.027    |
+| 3.1651        | 6.0   | 7254 | 3.0283          | 16.4083 | 8.0507 | 15.9778 | 16.1114   |
+| 3.1387        | 7.0   | 8463 | 3.0188          | 16.6289 | 8.2229 | 16.3528 | 16.3952   |
+| 3.1139        | 8.0   | 9672 | 3.0193          | 17.0896 | 8.362  | 16.735  | 16.8131   |
+
+
+### 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"
+}

runs/Dec04_04-46-21_2fb420fe3433/events.out.tfevents.1733287583.2fb420fe3433.2041.1

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runs/Dec04_04-46-21_2fb420fe3433/events.out.tfevents.1733291700.2fb420fe3433.2041.2

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