0314_i6dh_mobilebert_int8vs_lr7e-05
This model is a fine-tuned version of csarron/mobilebert-uncased-squad-v1 on the squad dataset.
The model has 12 blocks, and is quantized. The embeddings are also quantized.
{
"epoch": 15.0,
"eval_exact_match": 83.68968779564806,
"eval_f1": 90.37926101768134,
"step": 41500
}
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: 7e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- num_epochs: 15.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
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