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--- |
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license: apache-2.0 |
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base_model: funnel-transformer/small-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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- f1 |
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model-index: |
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- name: Funnel-finetuned-stationary-update |
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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-finetuned-stationary-update |
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This model is a fine-tuned version of [funnel-transformer/small-base](https://huggingface.co/funnel-transformer/small-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6506 |
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- Accuracy: 0.8267 |
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- F1: 0.8212 |
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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: 2e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 0.6307 | 1.0 | 38 | 0.5364 | 0.6667 | 0.5333 | |
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| 0.5143 | 2.0 | 76 | 0.4769 | 0.6667 | 0.5333 | |
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| 0.4497 | 3.0 | 114 | 0.5060 | 0.7567 | 0.7270 | |
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| 0.398 | 4.0 | 152 | 0.5025 | 0.8167 | 0.8082 | |
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| 0.3168 | 5.0 | 190 | 0.4550 | 0.8033 | 0.8072 | |
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| 0.2705 | 6.0 | 228 | 0.5615 | 0.8133 | 0.8034 | |
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| 0.2016 | 7.0 | 266 | 0.5831 | 0.83 | 0.8213 | |
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| 0.1492 | 8.0 | 304 | 0.6144 | 0.83 | 0.8243 | |
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| 0.1184 | 9.0 | 342 | 0.6269 | 0.82 | 0.8150 | |
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| 0.0935 | 10.0 | 380 | 0.6506 | 0.8267 | 0.8212 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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