|
--- |
|
library_name: transformers |
|
base_model: gokulsrinivasagan/bert_base_lda_5_v1 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- matthews_correlation |
|
- accuracy |
|
model-index: |
|
- name: bert_base_lda_5_v1_cola |
|
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_base_lda_5_v1_cola |
|
|
|
This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_5_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_5_v1) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6257 |
|
- Matthews Correlation: 0.0 |
|
- Accuracy: 0.6913 |
|
|
|
## 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: 0.001 |
|
- train_batch_size: 256 |
|
- eval_batch_size: 256 |
|
- seed: 10 |
|
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
- lr_scheduler_type: linear |
|
- num_epochs: 50 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|:--------:| |
|
| 1.0659 | 1.0 | 34 | 0.6201 | 0.0 | 0.6913 | |
|
| 0.6315 | 2.0 | 68 | 0.6200 | 0.0 | 0.6913 | |
|
| 0.61 | 3.0 | 102 | 0.6210 | 0.0 | 0.6913 | |
|
| 0.6103 | 4.0 | 136 | 0.6183 | 0.0 | 0.6913 | |
|
| 0.6103 | 5.0 | 170 | 0.6222 | 0.0 | 0.6913 | |
|
| 0.6105 | 6.0 | 204 | 0.6192 | 0.0 | 0.6913 | |
|
| 0.6098 | 7.0 | 238 | 0.6203 | 0.0 | 0.6913 | |
|
| 0.6104 | 8.0 | 272 | 0.6233 | 0.0 | 0.6913 | |
|
| 0.6095 | 9.0 | 306 | 0.6257 | 0.0 | 0.6913 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.46.3 |
|
- Pytorch 2.2.1+cu118 |
|
- Datasets 2.17.0 |
|
- Tokenizers 0.20.3 |
|
|
