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--- |
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tags: |
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- generated_from_trainer |
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model_index: |
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- name: mbart50-ft-si-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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--- |
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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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# mbart50-ft-si-en |
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This model was trained from scratch on an unkown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.0476 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 0.98 | 30 | 5.6367 | |
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| No log | 1.98 | 60 | 4.1221 | |
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| No log | 2.98 | 90 | 3.1880 | |
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| No log | 3.98 | 120 | 3.1175 | |
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| No log | 4.98 | 150 | 3.3575 | |
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| No log | 5.98 | 180 | 3.7855 | |
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| No log | 6.98 | 210 | 4.3530 | |
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| No log | 7.98 | 240 | 4.7216 | |
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| No log | 8.98 | 270 | 4.9202 | |
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| No log | 9.98 | 300 | 5.0476 | |
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### Framework versions |
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- Transformers 4.9.2 |
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- Pytorch 1.6.0 |
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- Datasets 1.11.0 |
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- Tokenizers 0.10.3 |
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