nbme-electra-large-generator

This model is a fine-tuned version of google/electra-large-generator on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0122
• Accuracy: 0.9977

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	195	0.1125	0.9789
No log	2.0	390	0.0141	0.9973
0.6233	3.0	585	0.0122	0.9977

Framework versions

• Transformers 4.19.0.dev0
• Pytorch 1.11.0
• Datasets 2.1.0
• Tokenizers 0.12.1