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--- |
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license: apache-2.0 |
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tags: |
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- summarization |
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- generated_from_trainer |
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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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--- |
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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: 3.0341 |
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- Rouge1: 16.9947 |
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- Rouge2: 8.1917 |
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- Rougel: 16.5751 |
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- Rougelsum: 16.6864 |
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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: 5.6e-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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:| |
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| 7.0901 | 1.0 | 1209 | 3.2969 | 13.9062 | 5.7456 | 13.4148 | 13.409 | |
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| 3.9124 | 2.0 | 2418 | 3.1529 | 16.6418 | 8.4375 | 15.85 | 15.9119 | |
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| 3.5991 | 3.0 | 3627 | 3.1181 | 18.7571 | 9.9189 | 18.0758 | 18.1545 | |
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| 3.4197 | 4.0 | 4836 | 3.0619 | 17.8796 | 8.8002 | 17.2547 | 17.3509 | |
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| 3.3215 | 5.0 | 6045 | 3.0706 | 16.9356 | 7.5098 | 16.2641 | 16.468 | |
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| 3.2448 | 6.0 | 7254 | 3.0455 | 16.7471 | 7.7886 | 16.345 | 16.4044 | |
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| 3.2033 | 7.0 | 8463 | 3.0349 | 17.0401 | 8.3424 | 16.6741 | 16.7633 | |
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| 3.177 | 8.0 | 9672 | 3.0341 | 16.9947 | 8.1917 | 16.5751 | 16.6864 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.1 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.2 |
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