metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: veb/twitch-distilbert-base-uncased-finetuned-sst-2-english
results: []
veb/twitch-distilbert-base-uncased-finetuned-sst-2-english
This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.3074
- Train Sparse Categorical Accuracy: 0.9219
- Validation Loss: 0.1151
- Validation Sparse Categorical Accuracy: 1.0
- Epoch: 2
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:
- optimizer: {'name': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
|---|---|---|---|---|
| 1.0992 | 0.6094 | 0.3072 | 1.0 | 0 |
| 0.3921 | 0.7812 | 0.2903 | 1.0 | 1 |
| 0.3074 | 0.9219 | 0.1151 | 1.0 | 2 |
Framework versions
- Transformers 4.19.2
- TensorFlow 2.7.0
- Datasets 2.2.2
- Tokenizers 0.12.1