metadata
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: scenario-TCR-data-glue-cola-model-bert-base-uncased
results: []
scenario-TCR-data-glue-cola-model-bert-base-uncased
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9233
- Matthews Correlation: 0.5556
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6969
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| No log | 1.0 | 268 | 0.4170 | 0.5507 |
| 0.3968 | 2.0 | 536 | 0.4077 | 0.5769 |
| 0.3968 | 3.0 | 804 | 0.6058 | 0.5667 |
| 0.1661 | 4.0 | 1072 | 0.8344 | 0.5396 |
| 0.1661 | 5.0 | 1340 | 0.7354 | 0.5402 |
| 0.1119 | 6.0 | 1608 | 0.7466 | 0.5593 |
| 0.1119 | 7.0 | 1876 | 0.9233 | 0.5556 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.15.0