opt-125m-finetuned-cfdna

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6873
• Accuracy: 0.555
• F1: 0.3962

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: 0.0001
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	0.992	62	0.6879	0.555	0.3962
No log	1.984	124	0.6873	0.555	0.3962

Framework versions

• Transformers 4.45.2
• Pytorch 2.3.0
• Datasets 2.19.1
• Tokenizers 0.20.1