metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: directquote-variedStyles
results: []
directquote-variedStyles
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: 0.2339
- Precision: 0.7440
- Recall: 0.9090
- F1: 0.8182
- Accuracy: 0.9355
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 |
|---|---|---|---|---|---|---|---|
| 0.3392 | 1.0 | 976 | 0.2050 | 0.7040 | 0.8297 | 0.7617 | 0.9327 |
| 0.1915 | 2.0 | 1952 | 0.1996 | 0.7417 | 0.8990 | 0.8128 | 0.9337 |
| 0.1668 | 3.0 | 2928 | 0.2023 | 0.7373 | 0.9066 | 0.8132 | 0.9369 |
| 0.1447 | 4.0 | 3904 | 0.2125 | 0.7458 | 0.9107 | 0.8200 | 0.9367 |
| 0.1248 | 5.0 | 4880 | 0.2339 | 0.7440 | 0.9090 | 0.8182 | 0.9355 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.10.2+cu113
- Datasets 2.8.0
- Tokenizers 0.13.2