| --- |
| license: apache-2.0 |
| base_model: funnel-transformer/intermediate-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: NLPGroupProject-Finetune-Funnel-Transformer |
| 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. --> |
|
|
| # NLPGroupProject-Finetune-Funnel-Transformer |
|
|
| This model is a fine-tuned version of [funnel-transformer/intermediate-base](https://huggingface.co/funnel-transformer/intermediate-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.3863 |
| - Accuracy: 0.263 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
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|
| More information needed |
|
|
| ## 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: |
| - learning_rate: 5e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - 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 | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 1.4073 | 0.25 | 500 | 1.3863 | 0.262 | |
| | 1.403 | 0.5 | 1000 | 1.3863 | 0.275 | |
| | 1.4031 | 0.75 | 1500 | 1.3863 | 0.263 | |
| | 1.4035 | 1.0 | 2000 | 1.3863 | 0.259 | |
| | 1.3984 | 1.25 | 2500 | 1.3863 | 0.283 | |
| | 1.3904 | 1.5 | 3000 | 1.3863 | 0.263 | |
| | 1.3977 | 1.75 | 3500 | 1.3863 | 0.252 | |
| | 1.3949 | 2.0 | 4000 | 1.3863 | 0.272 | |
| | 1.3979 | 2.25 | 4500 | 1.3863 | 0.258 | |
| | 1.3965 | 2.5 | 5000 | 1.3863 | 0.225 | |
| | 1.3944 | 2.75 | 5500 | 1.3863 | 0.246 | |
| | 1.3999 | 3.0 | 6000 | 1.3863 | 0.263 | |
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| ### Framework versions |
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|
| - Transformers 4.40.0 |
| - Pytorch 2.2.2+cu118 |
| - Datasets 2.19.0 |
| - Tokenizers 0.19.1 |
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|
