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: 3.7408
+- Rouge1: 11.6009
+- Rouge2: 2.8728
+- Rougel: 11.8004
+- Rougelsum: 11.9188
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| 12.338        | 1.0   | 300  | 5.2256          | 4.1224  | 1.2022 | 4.1645  | 4.2077    |
+| 5.5954        | 2.0   | 600  | 3.9721          | 9.005   | 2.1934 | 9.133   | 9.2792    |
+| 4.5559        | 3.0   | 900  | 3.8552          | 9.5807  | 2.6302 | 9.511   | 9.5471    |
+| 4.1858        | 4.0   | 1200 | 3.8014          | 10.8843 | 2.9462 | 10.9298 | 11.1352   |
+| 3.9963        | 5.0   | 1500 | 3.7575          | 13.0171 | 4.7986 | 13.0233 | 12.9146   |
+| 3.884         | 6.0   | 1800 | 3.7491          | 11.6897 | 2.8728 | 11.8886 | 12.0365   |
+| 3.8293        | 7.0   | 2100 | 3.7408          | 11.4003 | 2.8728 | 11.5425 | 11.6537   |
+| 3.7902        | 8.0   | 2400 | 3.7408          | 11.6009 | 2.8728 | 11.8004 | 11.9188   |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
+- 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_19-56-20_2c73218c73a2/events.out.tfevents.1733343174.2c73218c73a2.632.1

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