interview_electra

This model is a fine-tuned version of mrm8488/electra-small-finetuned-squadv2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.2729
• Accuracy: 0.1111

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: 2e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Use OptimizerNames.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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	54	2.2936	0.0370
No log	2.0	108	2.2872	0.1111
No log	3.0	162	2.2796	0.0741
No log	4.0	216	2.2798	0.0741
No log	5.0	270	2.2775	0.0741
No log	6.0	324	2.2780	0.1111
No log	7.0	378	2.2801	0.0370
No log	8.0	432	2.2741	0.1111
No log	9.0	486	2.2733	0.0370
2.2069	10.0	540	2.2729	0.1111

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0