metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: tiny-mlm-glue-qnli-target-glue-rte
results: []
tiny-mlm-glue-qnli-target-glue-rte
This model is a fine-tuned version of muhtasham/tiny-mlm-glue-qnli on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2152
- Accuracy: 0.6029
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
- num_epochs: 200
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6386 | 6.41 | 500 | 0.6664 | 0.6245 |
| 0.4313 | 12.82 | 1000 | 0.8105 | 0.6245 |
| 0.2642 | 19.23 | 1500 | 1.0035 | 0.6101 |
| 0.1617 | 25.64 | 2000 | 1.2152 | 0.6029 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2