| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - precision |
| | - recall |
| | - f1 |
| | - accuracy |
| | model-index: |
| | - name: whispQuote-ChunkDQ-DistilBERT |
| | 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. --> |
| |
|
| | # whispQuote-ChunkDQ-DistilBERT |
| |
|
| | This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2582 |
| | - Precision: 0.5816 |
| | - Recall: 0.8129 |
| | - F1: 0.6780 |
| | - Accuracy: 0.9126 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 2e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | | No log | 1.0 | 164 | 0.3432 | 0.4477 | 0.5795 | 0.5052 | 0.8796 | |
| | | No log | 2.0 | 328 | 0.3053 | 0.4308 | 0.6985 | 0.5329 | 0.8952 | |
| | | No log | 3.0 | 492 | 0.2602 | 0.5716 | 0.7775 | 0.6588 | 0.9097 | |
| | | 0.3826 | 4.0 | 656 | 0.2607 | 0.5664 | 0.8070 | 0.6656 | 0.9114 | |
| | | 0.3826 | 5.0 | 820 | 0.2582 | 0.5816 | 0.8129 | 0.6780 | 0.9126 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.26.0 |
| | - Pytorch 1.10.2+cu113 |
| | - Datasets 2.9.0 |
| | - Tokenizers 0.13.2 |
| |
|
