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--- |
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license: mit |
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base_model: facebook/mbart-large-50 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: pattern_model |
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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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# pattern_model |
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This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.9395 |
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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: 1.5e-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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.03 |
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- training_steps: 50 |
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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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| 7.5011 | 0.1613 | 5 | 7.5987 | |
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| 6.3012 | 0.3226 | 10 | 5.8828 | |
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| 5.6098 | 0.4839 | 15 | 5.5494 | |
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| 5.3656 | 0.6452 | 20 | 5.3440 | |
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| 5.0999 | 0.8065 | 25 | 5.2776 | |
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| 4.9572 | 0.9677 | 30 | 5.1436 | |
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| 4.7974 | 1.1290 | 35 | 5.0645 | |
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| 4.9493 | 1.2903 | 40 | 4.9931 | |
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| 4.903 | 1.4516 | 45 | 4.9546 | |
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| 4.6146 | 1.6129 | 50 | 4.9395 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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