COPA_xlm_roberta_large_finetuned

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

• Loss: 0.6931
• F1: 0.492

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: 1e-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	0.6932	0.5
No log	2.0	126	0.6927	0.536
No log	3.0	189	0.6931	0.526
No log	4.0	252	0.6932	0.474
No log	5.0	315	0.6931	0.486
No log	6.0	378	0.6931	0.488
No log	7.0	441	0.6931	0.5
0.6985	8.0	504	0.6931	0.472
0.6985	9.0	567	0.6931	0.482
0.6985	10.0	630	0.6931	0.492

Framework versions

• Transformers 4.41.0
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1