xlm-roberta-base-finetuned-panx-hi-ur

This model is a fine-tuned version of DeepaPeri/xlm-roberta-base-finetuned-panx-hi-5-epochs on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2936
• F1: 0.8968

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: 24
• eval_batch_size: 24
• 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	F1
No log	1.0	228	0.2395	0.8717
No log	2.0	456	0.3296	0.8747
No log	3.0	684	0.2789	0.8866
No log	4.0	912	0.3123	0.8977
No log	5.0	1140	0.2936	0.8968

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2