small-mlm-glue-cola-target-glue-qnli
This model is a fine-tuned version of muhtasham/small-mlm-glue-cola on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3594
- Accuracy: 0.8532
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 |
---|---|---|---|---|
0.4881 | 0.15 | 500 | 0.3958 | 0.8265 |
0.4461 | 0.31 | 1000 | 0.3827 | 0.8321 |
0.4217 | 0.46 | 1500 | 0.3588 | 0.8453 |
0.413 | 0.61 | 2000 | 0.3758 | 0.8384 |
0.4119 | 0.76 | 2500 | 0.3414 | 0.8494 |
0.3935 | 0.92 | 3000 | 0.3324 | 0.8559 |
0.3551 | 1.07 | 3500 | 0.3450 | 0.8532 |
0.3194 | 1.22 | 4000 | 0.3468 | 0.8620 |
0.3162 | 1.37 | 4500 | 0.3460 | 0.8622 |
0.3219 | 1.53 | 5000 | 0.3594 | 0.8532 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
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