metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: DIALOGUE_four_model
results: []
DIALOGUE_four_model
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1237
- Accuracy: 0.9737
- Precision: 0.9762
- Recall: 0.9737
- F1: 0.9736
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 1.2597 | 0.31 | 15 | 1.0370 | 0.7105 | 0.6143 | 0.7105 | 0.6481 |
| 0.857 | 0.62 | 30 | 0.5686 | 0.9474 | 0.9565 | 0.9474 | 0.9468 |
| 0.5836 | 0.94 | 45 | 0.3401 | 0.9737 | 0.9762 | 0.9737 | 0.9736 |
| 0.317 | 1.25 | 60 | 0.2230 | 0.9737 | 0.9762 | 0.9737 | 0.9736 |
| 0.2482 | 1.56 | 75 | 0.1819 | 0.9737 | 0.9762 | 0.9737 | 0.9736 |
| 0.1655 | 1.88 | 90 | 0.1573 | 0.9737 | 0.9762 | 0.9737 | 0.9736 |
| 0.0814 | 2.19 | 105 | 0.1175 | 0.9737 | 0.9762 | 0.9737 | 0.9736 |
| 0.1098 | 2.5 | 120 | 0.1131 | 0.9737 | 0.9762 | 0.9737 | 0.9736 |
| 0.0862 | 2.81 | 135 | 0.1237 | 0.9737 | 0.9762 | 0.9737 | 0.9736 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0