finetuned_roberta_large_custom

This model is a fine-tuned version of deepset/roberta-large-squad2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.5061

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: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
2.082	1.0	600	1.7062
1.6404	2.0	1200	2.7324
1.3663	3.0	1800	2.0644
0.8431	4.0	2400	2.3039

Framework versions

• Transformers 4.37.0
• Pytorch 2.1.2
• Datasets 2.1.0
• Tokenizers 0.15.1