clef1eng

This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3082
• F1: 0.7683

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: 3e-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	F1
0.417	0.3949	500	0.3184	0.7343
0.3081	0.7899	1000	0.3171	0.7185
0.2713	1.1848	1500	0.3191	0.7559
0.2528	1.5798	2000	0.3118	0.7552
0.2489	1.9747	2500	0.3082	0.7683
0.2225	2.3697	3000	0.3392	0.7706
0.2181	2.7646	3500	0.3100	0.7616
0.2088	3.1596	4000	0.3271	0.7649
0.2149	3.5545	4500	0.3486	0.7644
0.2126	3.9494	5000	0.3419	0.7711
0.2145	4.3444	5500	0.3319	0.7651
0.204	4.7393	6000	0.3373	0.7723

Framework versions

• Transformers 4.40.1
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1