| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: dandelin/vilt-b32-mlm |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: results2 |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # results2 |
| |
|
| | This model is a fine-tuned version of [dandelin/vilt-b32-mlm](https://huggingface.co/dandelin/vilt-b32-mlm) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 54.5580 |
| | - Bleu Score: {'bleu': 0.0, 'precisions': [0.0, 0.0, 0.0, 0.0], 'brevity_penalty': 5.701223175160721e-08, 'length_ratio': 0.05656108597285068, 'translation_length': 300, 'reference_length': 5304} |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 5e-05 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 3 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Bleu Score | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:| |
| | | 620.8193 | 1.0 | 63 | 177.3467 | {'bleu': 0.0, 'precisions': [0.0, 0.0, 0.0, 0.0], 'brevity_penalty': 5.701223175160721e-08, 'length_ratio': 0.05656108597285068, 'translation_length': 300, 'reference_length': 5304} | |
| | | 140.721 | 2.0 | 126 | 65.7476 | {'bleu': 0.0, 'precisions': [0.0, 0.0, 0.0, 0.0], 'brevity_penalty': 5.701223175160721e-08, 'length_ratio': 0.05656108597285068, 'translation_length': 300, 'reference_length': 5304} | |
| | | 60.0697 | 3.0 | 189 | 54.5580 | {'bleu': 0.0, 'precisions': [0.0, 0.0, 0.0, 0.0], 'brevity_penalty': 5.701223175160721e-08, 'length_ratio': 0.05656108597285068, 'translation_length': 300, 'reference_length': 5304} | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.44.2 |
| | - Pytorch 2.4.1+cu121 |
| | - Datasets 3.0.1 |
| | - Tokenizers 0.19.1 |
| |
|
