tinybert_train_book_v2_sst2
This model is a fine-tuned version of gokulsrinivasagan/tinybert_train_book_v2 on the GLUE SST2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3478
- Accuracy: 0.8624
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 |
|---|---|---|---|---|
| 0.3345 | 1.0 | 264 | 0.3478 | 0.8624 |
| 0.186 | 2.0 | 528 | 0.3737 | 0.8658 |
| 0.1317 | 3.0 | 792 | 0.3519 | 0.8819 |
| 0.1014 | 4.0 | 1056 | 0.3668 | 0.8773 |
| 0.0784 | 5.0 | 1320 | 0.4184 | 0.8658 |
| 0.0655 | 6.0 | 1584 | 0.4433 | 0.8739 |
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_sst2
Base model
distilbert/distilbert-base-uncased
Finetuned
gokulsrinivasagan/tinybert_train_book_v2