Training complete

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: akahana/mt5-small-google
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mt5-small-google-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-google-finetuned-amazon-en-es
+
+This model is a fine-tuned version of [akahana/mt5-small-google](https://huggingface.co/akahana/mt5-small-google) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 6.3094
+- Model Preparation Time: 0.0043
+- Rouge1: 3.9907
+- Rouge2: 0.0
+- Rougel: 3.728
+- Rougelsum: 3.7451
+
+## 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 | Model Preparation Time | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:------:|:------:|:------:|:---------:|
+| 36.3235       | 1.0   | 1209 | 10.4603         | 0.0043                 | 1.9526 | 0.0    | 1.9645 | 1.9549    |
+| 10.1253       | 2.0   | 2418 | 7.8354          | 0.0043                 | 2.7987 | 0.0    | 2.738  | 2.7197    |
+| 8.2571        | 3.0   | 3627 | 7.1225          | 0.0043                 | 2.7838 | 0.0    | 2.7297 | 2.7215    |
+| 7.5278        | 4.0   | 4836 | 6.7621          | 0.0043                 | 3.6597 | 0.0    | 3.4788 | 3.4724    |
+| 7.1356        | 5.0   | 6045 | 6.5444          | 0.0043                 | 3.8173 | 0.0    | 3.5713 | 3.5866    |
+| 6.8907        | 6.0   | 7254 | 6.3968          | 0.0043                 | 3.8173 | 0.0    | 3.5334 | 3.5352    |
+| 6.753         | 7.0   | 8463 | 6.3399          | 0.0043                 | 3.9907 | 0.0    | 3.728  | 3.7451    |
+| 6.6743        | 8.0   | 9672 | 6.3094          | 0.0043                 | 3.9907 | 0.0    | 3.728  | 3.7451    |
+
+
+### Framework versions
+
+- Transformers 4.54.1
+- Pytorch 2.5.1+cu121
+- Datasets 4.0.0
+- Tokenizers 0.21.4

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.54.1"
+}

model.safetensors

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