|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: bert-finetuned-10Epochs64Batch |
|
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. --> |
|
|
|
# bert-finetuned-10Epochs64Batch |
|
|
|
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: 0.6931 |
|
- Accuracy: 0.4993 |
|
|
|
## 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: 64 |
|
- eval_batch_size: 64 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.6962 | 1.0 | 569 | 0.6931 | 0.5094 | |
|
| 0.6969 | 2.0 | 1138 | 0.6931 | 0.5062 | |
|
| 0.6959 | 3.0 | 1707 | 0.6931 | 0.5106 | |
|
| 0.6959 | 4.0 | 2276 | 0.6931 | 0.4975 | |
|
| 0.6948 | 5.0 | 2845 | 0.6931 | 0.5109 | |
|
| 0.6944 | 6.0 | 3414 | 0.6931 | 0.4948 | |
|
| 0.695 | 7.0 | 3983 | 0.6931 | 0.5092 | |
|
| 0.694 | 8.0 | 4552 | 0.6931 | 0.5054 | |
|
| 0.6941 | 9.0 | 5121 | 0.6931 | 0.4998 | |
|
| 0.6944 | 10.0 | 5690 | 0.6931 | 0.4993 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.25.1 |
|
- Pytorch 1.13.0+cu116 |
|
- Datasets 2.7.1 |
|
- Tokenizers 0.13.2 |
|
|
