|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: distilbert-base-uncased__hate_speech_offensive__train-8-2 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# distilbert-base-uncased__hate_speech_offensive__train-8-2 |
|
|
|
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.1019 |
|
- Accuracy: 0.139 |
|
|
|
## 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: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 50 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 1.1082 | 1.0 | 5 | 1.1432 | 0.0 | |
|
| 1.0524 | 2.0 | 10 | 1.1613 | 0.0 | |
|
| 1.0641 | 3.0 | 15 | 1.1547 | 0.0 | |
|
| 0.9592 | 4.0 | 20 | 1.1680 | 0.0 | |
|
| 0.9085 | 5.0 | 25 | 1.1762 | 0.0 | |
|
| 0.8508 | 6.0 | 30 | 1.1809 | 0.2 | |
|
| 0.7263 | 7.0 | 35 | 1.1912 | 0.2 | |
|
| 0.6448 | 8.0 | 40 | 1.2100 | 0.2 | |
|
| 0.5378 | 9.0 | 45 | 1.2037 | 0.2 | |
|
| 0.5031 | 10.0 | 50 | 1.2096 | 0.2 | |
|
| 0.4041 | 11.0 | 55 | 1.2203 | 0.2 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.15.0 |
|
- Pytorch 1.10.2+cu102 |
|
- Datasets 1.18.2 |
|
- Tokenizers 0.10.3 |
|
|
