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: 2.0126
- Accuracy: 0.25
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: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.1499 | 0.29 | 60 | 2.1015 | 0.1991 |
| 2.105 | 0.58 | 120 | 2.0680 | 0.2158 |
| 2.0741 | 0.87 | 180 | 2.0512 | 0.2384 |
| 2.0064 | 1.16 | 240 | 2.0333 | 0.2398 |
| 1.903 | 1.45 | 300 | 2.0206 | 0.2384 |
| 1.9054 | 1.74 | 360 | 2.0126 | 0.25 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3