File size: 1,611 Bytes
bf97113 a71e0a2 bf97113 a71e0a2 bf97113 a71e0a2 bf97113 a71e0a2 bf97113 a71e0a2 bf97113 a71e0a2 bf97113 a71e0a2 bf97113 a71e0a2 bf97113 a71e0a2 bf97113 a71e0a2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 |
---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: rwang5688/distilbert-base-uncased-finetuned-cola
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# rwang5688/distilbert-base-uncased-finetuned-cola
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.5111
- Validation Loss: 0.4731
- Train Matthews Correlation: 0.4440
- Epoch: 0
## 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2670, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Train Matthews Correlation | Epoch |
|:----------:|:---------------:|:--------------------------:|:-----:|
| 0.5111 | 0.4731 | 0.4440 | 0 |
### Framework versions
- Transformers 4.21.0
- TensorFlow 2.9.1
- Datasets 2.4.0
- Tokenizers 0.12.1
|