tiny-mlm-glue-cola-from-scratch-custom-tokenizer-expand-vocab-target-glue-qnli
This model is a fine-tuned version of muhtasham/tiny-mlm-glue-cola-from-scratch-custom-tokenizer-expand-vocab on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6582
- Accuracy: 0.6053
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 |
---|---|---|---|---|
0.6936 | 0.15 | 500 | 0.6930 | 0.5444 |
0.6928 | 0.31 | 1000 | 0.6893 | 0.5737 |
0.6786 | 0.46 | 1500 | 0.6640 | 0.5891 |
0.6685 | 0.61 | 2000 | 0.6632 | 0.5938 |
0.6651 | 0.76 | 2500 | 0.6606 | 0.6008 |
0.6636 | 0.92 | 3000 | 0.6596 | 0.6021 |
0.6589 | 1.07 | 3500 | 0.6590 | 0.5993 |
0.659 | 1.22 | 4000 | 0.6583 | 0.6074 |
0.6557 | 1.37 | 4500 | 0.6601 | 0.6077 |
0.6542 | 1.53 | 5000 | 0.6582 | 0.6053 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.9.1.dev0
- Tokenizers 0.13.2
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