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---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: cola-teacher
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. -->
# cola-teacher
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co./bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3687
- Accuracy: 0.8207
- F1: 0.8793
- Precision: 0.8225
- Recall: 0.9445
## 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.5177 | 1.0 | 535 | 0.4576 | 0.7977 | 0.8677 | 0.7918 | 0.9598 |
| 0.3187 | 2.0 | 1070 | 0.4655 | 0.8159 | 0.8764 | 0.8175 | 0.9445 |
| 0.2035 | 3.0 | 1605 | 0.6732 | 0.8111 | 0.8731 | 0.8149 | 0.9404 |
| 0.1495 | 4.0 | 2140 | 0.9194 | 0.8130 | 0.8751 | 0.8131 | 0.9473 |
| 0.1041 | 5.0 | 2675 | 0.9687 | 0.8226 | 0.8819 | 0.8168 | 0.9584 |
| 0.0823 | 6.0 | 3210 | 1.1245 | 0.8226 | 0.8804 | 0.8245 | 0.9445 |
| 0.0552 | 7.0 | 3745 | 1.0909 | 0.8274 | 0.8834 | 0.8287 | 0.9459 |
| 0.0427 | 8.0 | 4280 | 1.2896 | 0.8236 | 0.8808 | 0.8262 | 0.9431 |
| 0.0278 | 9.0 | 4815 | 1.3355 | 0.8226 | 0.8804 | 0.8245 | 0.9445 |
| 0.023 | 10.0 | 5350 | 1.3687 | 0.8207 | 0.8793 | 0.8225 | 0.9445 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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