metadata
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: tiny-mlm-glue-qnli-from-scratch-custom-tokenizer-target-glue-cola
results: []
tiny-mlm-glue-qnli-from-scratch-custom-tokenizer-target-glue-cola
This model is a fine-tuned version of muhtasham/tiny-mlm-glue-qnli-from-scratch-custom-tokenizer on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8016
- Matthews Correlation: 0.0716
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.6104 | 1.87 | 500 | 0.6207 | 0.0 |
| 0.6069 | 3.73 | 1000 | 0.6185 | 0.0 |
| 0.5994 | 5.6 | 1500 | 0.6141 | -0.0207 |
| 0.5555 | 7.46 | 2000 | 0.6537 | 0.0485 |
| 0.5134 | 9.33 | 2500 | 0.6886 | 0.0900 |
| 0.4922 | 11.19 | 3000 | 0.6950 | 0.0998 |
| 0.4643 | 13.06 | 3500 | 0.7414 | 0.1108 |
| 0.4497 | 14.93 | 4000 | 0.7671 | 0.0889 |
| 0.4315 | 16.79 | 4500 | 0.7826 | 0.0760 |
| 0.421 | 18.66 | 5000 | 0.8016 | 0.0716 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2