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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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metrics: |
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- bleu |
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datasets: |
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- versae/modernisa |
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model-index: |
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- name: mt5-base-finetuned-modernisa |
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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-base-finetuned-modernisa |
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3179 |
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- Bleu: 81.9164 |
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- Gen Len: 11.1876 |
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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: 0.0001 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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 | Bleu | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| |
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| 0.4588 | 0.35 | 10000 | 0.4023 | 78.1616 | 11.1577 | |
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| 0.3982 | 0.71 | 20000 | 0.3584 | 79.3456 | 11.144 | |
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| 0.3465 | 1.06 | 30000 | 0.3424 | 80.4057 | 11.1625 | |
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| 0.3236 | 1.42 | 40000 | 0.3349 | 80.9978 | 11.1869 | |
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| 0.2983 | 1.77 | 50000 | 0.3243 | 81.5426 | 11.1925 | |
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| 0.278 | 2.13 | 60000 | 0.3210 | 81.794 | 11.2047 | |
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| 0.2584 | 2.48 | 70000 | 0.3205 | 81.8086 | 11.1986 | |
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| 0.2609 | 2.84 | 80000 | 0.3179 | 81.9164 | 11.1876 | |
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### Framework versions |
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- Transformers 4.13.0.dev0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.15.2.dev0 |
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- Tokenizers 0.10.3 |
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