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--- |
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license: apache-2.0 |
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base_model: funnel-transformer/xlarge-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: funnel-test-512 |
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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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# funnel-test-512 |
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This model is a fine-tuned version of [funnel-transformer/xlarge-base](https://huggingface.co/funnel-transformer/xlarge-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4556 |
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- Accuracy: 0.8041 |
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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: 1e-05 |
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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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- 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: 1 |
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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 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.6108 | 0.2 | 59 | 0.6724 | 0.6460 | |
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| 0.651 | 0.4 | 118 | 0.6463 | 0.6451 | |
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| 0.6052 | 0.61 | 177 | 0.6210 | 0.6424 | |
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| 0.4588 | 0.81 | 236 | 0.4556 | 0.8041 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.0.1 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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