metadata
library_name: transformers
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ai-chat-censor
results: []
ai-chat-censor
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1091
- Accuracy: 0.9880
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 | Accuracy |
|---|---|---|---|---|
| 0.1175 | 1.0 | 1492 | 0.1155 | 0.9799 |
| 0.0399 | 2.0 | 2984 | 0.0786 | 0.9863 |
| 0.0132 | 3.0 | 4476 | 0.1142 | 0.9869 |
| 0.0024 | 4.0 | 5968 | 0.1156 | 0.9869 |
| 0.0003 | 5.0 | 7460 | 0.1091 | 0.9880 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.3.1
- Datasets 3.0.1
- Tokenizers 0.20.1