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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- null |
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metrics: |
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- rouge |
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model-index: |
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- name: mt5-small-finetuned-amazon-en-es |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 8.8272 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# mt5-small-finetuned-amazon-en-es |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.3342 |
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- Rouge1: 8.8272 |
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- Rouge2: 2.5114 |
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- Rougel: 8.6749 |
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- Rougelsum: 8.6722 |
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- Gen Len: 4.2877 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
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| 9.4562 | 1.0 | 2202 | 3.5591 | 6.6009 | 1.7239 | 6.5036 | 6.5228 | 3.4434 | |
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| 4.6481 | 2.0 | 4404 | 3.3600 | 7.3535 | 1.9174 | 7.2846 | 7.3053 | 3.809 | |
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| 4.3333 | 3.0 | 6606 | 3.3342 | 8.8272 | 2.5114 | 8.6749 | 8.6722 | 4.2877 | |
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### Framework versions |
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- Transformers 4.10.3 |
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- Pytorch 1.9.1+cu102 |
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- Datasets 1.12.1 |
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- Tokenizers 0.10.3 |
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