metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: muhtasham/small-mlm-glue-qnli
model-index:
- name: small-mlm-glue-qnli-target-glue-sst2
results: []
small-mlm-glue-qnli-target-glue-sst2
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: 0.4217
- Accuracy: 0.8716
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 |
|---|---|---|---|---|
| 0.3912 | 0.24 | 500 | 0.3462 | 0.8406 |
| 0.3049 | 0.48 | 1000 | 0.3246 | 0.8544 |
| 0.2574 | 0.71 | 1500 | 0.3264 | 0.8739 |
| 0.2381 | 0.95 | 2000 | 0.2983 | 0.8807 |
| 0.1836 | 1.19 | 2500 | 0.3447 | 0.8784 |
| 0.1681 | 1.43 | 3000 | 0.3553 | 0.8819 |
| 0.1656 | 1.66 | 3500 | 0.3758 | 0.8784 |
| 0.1701 | 1.9 | 4000 | 0.3134 | 0.8991 |
| 0.1337 | 2.14 | 4500 | 0.5031 | 0.8521 |
| 0.1232 | 2.38 | 5000 | 0.4217 | 0.8716 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2