tinybert_train_book_v2_wnli
This model is a fine-tuned version of gokulsrinivasagan/tinybert_train_book_v2 on the GLUE WNLI dataset. It achieves the following results on the evaluation set:
- Loss: 0.7159
- Accuracy: 0.4507
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: 5e-05
- train_batch_size: 256
- eval_batch_size: 256
- seed: 10
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7051 | 1.0 | 3 | 0.7159 | 0.4507 |
| 0.6983 | 2.0 | 6 | 0.7279 | 0.3380 |
| 0.6918 | 3.0 | 9 | 0.7459 | 0.2676 |
| 0.6897 | 4.0 | 12 | 0.7441 | 0.3099 |
| 0.691 | 5.0 | 15 | 0.7543 | 0.2676 |
| 0.6886 | 6.0 | 18 | 0.7753 | 0.2113 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 2.17.0
- Tokenizers 0.20.3
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Model tree for gokulsrinivasagan/tinybert_train_book_v2_wnli
Base model
distilbert/distilbert-base-uncased
Finetuned
gokulsrinivasagan/tinybert_train_book_v2