Model save

README.md

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+---
+license: apache-2.0
+base_model: LinhCT/mt5-small-finetuned-amazon-en-es
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mt5-small-finetuned-amazon-en-es-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-finetuned-amazon-en-es
+
+This model is a fine-tuned version of [LinhCT/mt5-small-finetuned-amazon-en-es](https://huggingface.co/LinhCT/mt5-small-finetuned-amazon-en-es) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4243
+- Rouge1: 28.2282
+- Rouge2: 13.0079
+- Rougel: 27.8476
+- Rougelsum: 27.9373
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 5.1931        | 1.0   | 1152 | 3.7893          | 19.9416 | 8.7882  | 19.7175 | 19.6944   |
+| 4.2391        | 2.0   | 2304 | 3.6033          | 24.7762 | 11.4627 | 24.5132 | 24.5349   |
+| 3.9401        | 3.0   | 3456 | 3.5088          | 25.618  | 11.8757 | 25.316  | 25.3784   |
+| 3.7617        | 4.0   | 4608 | 3.4602          | 26.2721 | 11.8065 | 25.9693 | 26.0518   |
+| 3.6381        | 5.0   | 5760 | 3.4439          | 27.3459 | 12.668  | 26.9862 | 27.0528   |
+| 3.548         | 6.0   | 6912 | 3.4317          | 27.751  | 12.7711 | 27.3445 | 27.3912   |
+| 3.4956        | 7.0   | 8064 | 3.4343          | 28.7685 | 13.1835 | 28.3702 | 28.4383   |
+| 3.4589        | 8.0   | 9216 | 3.4243          | 28.2282 | 13.0079 | 27.8476 | 27.9373   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- 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": "4.41.2"
+}

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