COPA_Ba1

This model is a fine-tuned version of albert/albert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6909
• F1: 0.5477

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: 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	63	0.6933	0.4512
No log	2.0	126	0.6931	0.5436
No log	3.0	189	0.6932	0.4708
No log	4.0	252	0.6931	0.5418
No log	5.0	315	0.6923	0.5521
No log	6.0	378	0.6931	0.5202
No log	7.0	441	0.6926	0.5691
0.6994	8.0	504	0.6898	0.5562
0.6994	9.0	567	0.6929	0.5402
0.6994	10.0	630	0.6909	0.5477

Framework versions

• Transformers 4.40.0
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1