metadata
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: cola-pixel-handwritten-mean-vatrpp-256-128-4-3e-5-15000-420
results: []
cola-pixel-handwritten-mean-vatrpp-256-128-4-3e-5-15000-420
This model is a fine-tuned version of noniewiem/pixel-handwritten on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.6172
- 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: 3e-05
- train_batch_size: 128
- eval_batch_size: 8
- seed: 420
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- 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 |
|---|---|---|---|---|
| 0.651 | 6.24 | 100 | 0.6248 | 0.0 |
| 0.6339 | 12.48 | 200 | 0.6229 | 0.0 |
| 0.6347 | 18.72 | 300 | 0.6188 | 0.0 |
| 0.6348 | 24.96 | 400 | 0.6178 | 0.0 |
| 0.6383 | 31.24 | 500 | 0.6179 | 0.0 |
| 0.633 | 37.48 | 600 | 0.6183 | 0.0 |
| 0.633 | 43.72 | 700 | 0.6159 | 0.0 |
| 0.6333 | 49.96 | 800 | 0.6181 | 0.0 |
| 0.6369 | 56.24 | 900 | 0.6213 | 0.0 |
| 0.6359 | 62.48 | 1000 | 0.6191 | 0.0 |
| 0.6348 | 68.72 | 1100 | 0.6172 | 0.0 |
Framework versions
- Transformers 4.17.0
- Pytorch 2.3.0+cu121
- Datasets 2.0.0
- Tokenizers 0.13.3