This model is a fine-tuned version of distilbert/distilbert-base-uncased on the srh1_k dataset.
It achieves the following results on the evaluation set:
Loss: 2.8649
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: 6
eval_batch_size: 60
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
191
3.6980
No log
2.0
382
3.3586
3.3771
3.0
573
2.8649
Framework versions
Transformers 4.40.0
Pytorch 2.6.0+cu124
Datasets 2.21.0
Tokenizers 0.19.1
used wrong model not pretrained on squad so performance is bad
