metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-sst2-shake-wiki
results: []
distilbert-base-uncased-finetuned-sst2-shake-wiki
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: 0.0096
- Accuracy: 0.9994
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 |
|---|---|---|---|---|
| 0.001 | 1.0 | 5029 | 0.0120 | 0.9988 |
| 0.0017 | 2.0 | 10058 | 0.0028 | 0.9996 |
| 0.0 | 3.0 | 15087 | 0.0094 | 0.9992 |
| 0.0 | 4.0 | 20116 | 0.0091 | 0.9994 |
| 0.0 | 5.0 | 25145 | 0.0096 | 0.9994 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1