distilbert-base-uncased-SRH1K-V2

This model is a fine-tuned version of distilbert/distilbert-base-uncased-distilled-squad on the srh1_k dataset. It achieves the following results on the evaluation set:

• Loss: 1.6969

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	190	1.3250
No log	2.0	380	1.4474
1.0842	3.0	570	1.6969

Framework versions

• Transformers 4.40.0
• Pytorch 2.6.0+cu124
• Datasets 2.21.0
• Tokenizers 0.19.1

Trained using the squad pretrained version of distilbert uncased