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license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
model-index:
- name: test-bert
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. -->
# test-bert
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.0267
## 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: 3e-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: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.8219 | 0.09 | 5 | 5.9435 |
| 4.9256 | 0.18 | 10 | 6.1109 |
| 4.3213 | 0.27 | 15 | 5.7204 |
| 3.5947 | 0.36 | 20 | 5.7525 |
| 3.0974 | 0.45 | 25 | 5.6447 |
| 2.7481 | 0.55 | 30 | 5.2776 |
| 2.207 | 0.64 | 35 | 5.3963 |
| 1.8922 | 0.73 | 40 | 5.4622 |
| 1.7034 | 0.82 | 45 | 5.3710 |
| 1.4313 | 0.91 | 50 | 5.3449 |
| 1.0748 | 1.0 | 55 | 5.3580 |
| 1.0215 | 1.09 | 60 | 5.4713 |
| 0.7634 | 1.18 | 65 | 5.5980 |
| 0.7535 | 1.27 | 70 | 5.6049 |
| 0.6063 | 1.36 | 75 | 5.5830 |
| 0.4824 | 1.45 | 80 | 5.6753 |
| 0.48 | 1.55 | 85 | 5.7216 |
| 0.4884 | 1.64 | 90 | 5.7817 |
| 0.5813 | 1.73 | 95 | 5.9427 |
| 0.4287 | 1.82 | 100 | 6.0148 |
| 0.4061 | 1.91 | 105 | 5.8752 |
| 0.55 | 2.0 | 110 | 5.8723 |
| 0.4631 | 2.09 | 115 | 5.8288 |
| 0.2987 | 2.18 | 120 | 5.8808 |
| 0.3359 | 2.27 | 125 | 5.8884 |
| 0.3002 | 2.36 | 130 | 5.9442 |
| 0.299 | 2.45 | 135 | 5.9331 |
| 0.3393 | 2.55 | 140 | 5.9454 |
| 0.2656 | 2.64 | 145 | 5.9894 |
| 0.3582 | 2.73 | 150 | 6.0142 |
| 0.2111 | 2.82 | 155 | 6.0329 |
| 0.2574 | 2.91 | 160 | 6.0304 |
| 0.2471 | 3.0 | 165 | 6.0267 |
### Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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