metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: small-mlm-glue-qnli-target-glue-mnli
results: []
small-mlm-glue-qnli-target-glue-mnli
This model is a fine-tuned version of muhtasham/small-mlm-glue-qnli on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6485
- Accuracy: 0.7301
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 | Accuracy |
|---|---|---|---|---|
| 0.9061 | 0.04 | 500 | 0.8129 | 0.6436 |
| 0.8051 | 0.08 | 1000 | 0.7717 | 0.6652 |
| 0.7687 | 0.12 | 1500 | 0.7466 | 0.6765 |
| 0.7454 | 0.16 | 2000 | 0.7259 | 0.6920 |
| 0.7392 | 0.2 | 2500 | 0.7105 | 0.6953 |
| 0.7297 | 0.24 | 3000 | 0.6978 | 0.6995 |
| 0.7117 | 0.29 | 3500 | 0.6829 | 0.7105 |
| 0.7004 | 0.33 | 4000 | 0.6710 | 0.7146 |
| 0.6787 | 0.37 | 4500 | 0.6734 | 0.7186 |
| 0.6787 | 0.41 | 5000 | 0.6485 | 0.7301 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2