metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: DIALOGUE_five_model
results: []
DIALOGUE_five_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: 0.4632
- Accuracy: 0.9342
- Precision: 0.9421
- Recall: 0.9342
- F1: 0.9313
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: 0.00012
- 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 |
|---|---|---|---|---|---|---|---|
| 0.1351 | 0.31 | 15 | 0.1519 | 0.9737 | 0.9762 | 0.9737 | 0.9736 |
| 0.0519 | 0.62 | 30 | 0.2044 | 0.9737 | 0.9762 | 0.9737 | 0.9736 |
| 0.0728 | 0.94 | 45 | 0.1813 | 0.9737 | 0.9762 | 0.9737 | 0.9736 |
| 0.0017 | 1.25 | 60 | 0.0108 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0492 | 1.56 | 75 | 0.3072 | 0.9342 | 0.9421 | 0.9342 | 0.9313 |
| 0.0881 | 1.88 | 90 | 0.1682 | 0.9737 | 0.9762 | 0.9737 | 0.9736 |
| 0.0018 | 2.19 | 105 | 0.3500 | 0.9342 | 0.9421 | 0.9342 | 0.9313 |
| 0.0008 | 2.5 | 120 | 0.4114 | 0.9342 | 0.9421 | 0.9342 | 0.9313 |
| 0.0011 | 2.81 | 135 | 0.4632 | 0.9342 | 0.9421 | 0.9342 | 0.9313 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0