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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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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: distilbert-base-uncased-finetuned-switchboard-2 |
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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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# distilbert-base-uncased-finetuned-switchboard-2 |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on Switchboard dataset. |
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It achieves the following results on the validation set: |
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- Loss: 0.7090 |
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- Accuracy: 0.7215 |
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- Precision: 0.7176 |
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- Recall: 0.7215 |
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- F1: 0.7188 |
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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: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 0.2139 | 1.0 | 370 | 0.8510 | 0.6875 | 0.6831 | 0.6875 | 0.6846 | |
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| 0.3195 | 2.0 | 740 | 0.7090 | 0.7215 | 0.7176 | 0.7215 | 0.7188 | |
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### Framework versions |
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- Transformers 4.13.0 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 1.16.1 |
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- Tokenizers 0.10.3 |
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