metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: office-character
results: []
office-character
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: 2.4817
- Accuracy: 0.1787
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.5596 | 0.2 | 60 | 2.5272 | 0.1201 |
| 2.5284 | 0.4 | 120 | 2.5153 | 0.1206 |
| 2.4807 | 0.6 | 180 | 2.4858 | 0.1449 |
| 2.4921 | 0.8 | 240 | 2.5119 | 0.1201 |
| 2.4656 | 1.0 | 300 | 2.4461 | 0.1636 |
| 2.3184 | 1.2 | 360 | 2.4390 | 0.1671 |
| 2.2852 | 1.4 | 420 | 2.4665 | 0.1575 |
| 2.2561 | 1.59 | 480 | 2.4464 | 0.1731 |
| 2.2903 | 1.79 | 540 | 2.4487 | 0.1752 |
| 2.242 | 1.99 | 600 | 2.4399 | 0.1731 |
| 2.0247 | 2.19 | 660 | 2.4595 | 0.1777 |
| 2.0127 | 2.39 | 720 | 2.4709 | 0.1731 |
| 1.9785 | 2.59 | 780 | 2.4754 | 0.1752 |
| 2.0006 | 2.79 | 840 | 2.4717 | 0.1843 |
| 1.9937 | 2.99 | 900 | 2.4817 | 0.1787 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3