metadata
library_name: transformers
language:
- en
base_model: Hartunka/bert_base_km_50_v1
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
- accuracy
model-index:
- name: bert_base_km_50_v1_cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE COLA
type: glue
args: cola
metrics:
- name: Matthews Correlation
type: matthews_correlation
value: 0
- name: Accuracy
type: accuracy
value: 0.6912751793861389
bert_base_km_50_v1_cola
This model is a fine-tuned version of Hartunka/bert_base_km_50_v1 on the GLUE COLA dataset. It achieves the following results on the evaluation set:
- Loss: 0.6189
- 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: 5e-05
- 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 |
|---|---|---|---|---|---|
| 0.617 | 1.0 | 34 | 0.6189 | 0.0 | 0.6913 |
| 0.5996 | 2.0 | 68 | 0.6232 | 0.0593 | 0.6932 |
| 0.5631 | 3.0 | 102 | 0.6375 | -0.0024 | 0.6606 |
| 0.499 | 4.0 | 136 | 0.6979 | 0.0576 | 0.6711 |
| 0.4187 | 5.0 | 170 | 0.7206 | 0.1145 | 0.6558 |
| 0.3434 | 6.0 | 204 | 0.8469 | 0.0852 | 0.6424 |
Framework versions
- Transformers 4.50.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.21.1