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--- |
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license: apache-2.0 |
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base_model: google/mt5-small |
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tags: |
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- generated_from_trainer |
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datasets: |
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- wmt16 |
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metrics: |
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- rouge |
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- sacrebleu |
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model-index: |
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- name: mt5_small_wmt16_de_en |
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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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dataset: |
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name: wmt16 |
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type: wmt16 |
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config: de-en |
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split: validation |
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args: de-en |
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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 0.3666 |
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- name: Sacrebleu |
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type: sacrebleu |
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value: 6.4622 |
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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_wmt16_de_en |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the wmt16 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4612 |
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- Rouge1: 0.3666 |
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- Rouge2: 0.147 |
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- Rougel: 0.3362 |
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- Sacrebleu: 6.4622 |
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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: 0.0005 |
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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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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Sacrebleu | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| |
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| 3.3059 | 1.6 | 500 | 2.5597 | 0.3398 | 0.1261 | 0.3068 | 5.5524 | |
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| 2.4093 | 3.2 | 1000 | 2.4996 | 0.3609 | 0.144 | 0.3304 | 6.2002 | |
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| 2.2322 | 4.8 | 1500 | 2.4612 | 0.3666 | 0.147 | 0.3362 | 6.4622 | |
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### Framework versions |
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- Transformers 4.32.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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