metadata
language:
- en
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: cola-pixel-handwritten-mean-vatrpp-256-64-4-2e-5-15000-42
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
cola-pixel-handwritten-mean-vatrpp-256-64-4-2e-5-15000-42
This model is a fine-tuned version of noniewiem/pixel-handwritten on the GLUE COLA dataset. It achieves the following results on the evaluation set:
- Loss: 0.6182
- Matthews Correlation: 0.0
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: 64
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 15000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.655 | 3.03 | 100 | 0.6341 | 0.0029 |
| 0.6174 | 6.06 | 200 | 0.6282 | 0.0 |
| 0.6196 | 9.09 | 300 | 0.6198 | 0.0 |
| 0.6158 | 12.12 | 400 | 0.6199 | 0.0 |
| 0.6175 | 15.15 | 500 | 0.6181 | 0.0 |
| 0.6152 | 18.18 | 600 | 0.6191 | 0.0 |
| 0.617 | 21.21 | 700 | 0.6185 | 0.0 |
| 0.6191 | 24.24 | 800 | 0.6185 | 0.0 |
| 0.6162 | 27.27 | 900 | 0.6183 | 0.0 |
| 0.6166 | 30.3 | 1000 | 0.6183 | 0.0 |
| 0.6177 | 33.33 | 1100 | 0.6182 | 0.0 |
Framework versions
- Transformers 4.17.0
- Pytorch 2.3.0+cu121
- Datasets 2.0.0
- Tokenizers 0.13.3