metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
base_model: distilbert-base-cased
model-index:
- name: whispQuote-ChunkedDQ
results: []
whispQuote-ChunkedDQ
This model is a fine-tuned version of distilbert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2317
- Precision: 0.6456
- Recall: 0.8030
- F1: 0.7157
- Accuracy: 0.9241
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 | 162 | 0.3050 | 0.5572 | 0.6886 | 0.6159 | 0.8903 |
| No log | 2.0 | 324 | 0.2382 | 0.6363 | 0.7659 | 0.6951 | 0.9187 |
| No log | 3.0 | 486 | 0.2350 | 0.6420 | 0.7927 | 0.7094 | 0.9220 |
| 0.3239 | 4.0 | 648 | 0.2303 | 0.6486 | 0.8012 | 0.7169 | 0.9228 |
| 0.3239 | 5.0 | 810 | 0.2317 | 0.6456 | 0.8030 | 0.7157 | 0.9241 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.10.2+cu113
- Datasets 2.9.0
- Tokenizers 0.13.2