ColD-Fusion-bert-base-uncased-itr23-seed0-finetuned-effectiveness-dagstuhl

This model is a fine-tuned version of ibm/ColD-Fusion-bert-base-uncased-itr23-seed0 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6548
• Accuracy: 0.6508

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	16	0.6548	0.6508
No log	2.0	32	0.6502	0.6190
No log	3.0	48	0.6451	0.6190
No log	4.0	64	0.6436	0.6349
No log	5.0	80	0.6482	0.6190

Framework versions

• Transformers 4.27.3
• Pytorch 1.13.1+cu116
• Datasets 2.10.1
• Tokenizers 0.13.2