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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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- accuracy |
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base_model: funnel-transformer/xlarge |
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model-index: |
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- name: funnel-transformer-xlarge_cls_CR |
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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-transformer-xlarge_cls_CR |
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This model is a fine-tuned version of [funnel-transformer/xlarge](https://huggingface.co/funnel-transformer/xlarge) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2563 |
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- Accuracy: 0.9388 |
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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: 4e-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: cosine |
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- lr_scheduler_warmup_ratio: 0.2 |
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- num_epochs: 5 |
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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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| No log | 1.0 | 213 | 0.3813 | 0.9016 | |
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| No log | 2.0 | 426 | 0.5227 | 0.8564 | |
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| 0.3933 | 3.0 | 639 | 0.2958 | 0.9176 | |
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| 0.3933 | 4.0 | 852 | 0.2600 | 0.9415 | |
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| 0.1561 | 5.0 | 1065 | 0.2563 | 0.9388 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- Pytorch 1.11.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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