76f0d4198b67154d6e7dcad5d23ba0cc

This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the contemmcm/cls_20newsgroups dataset. It achieves the following results on the evaluation set:

• Loss: 3.0113
• Data Size: 0.5
• Epoch Runtime: 50.6477
• Accuracy: 0.0449
• F1 Macro: 0.0043

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: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• total_train_batch_size: 32
• total_eval_batch_size: 32
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: constant
• num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Data Size	Epoch Runtime	Accuracy	F1 Macro
No log	0	0	3.0195	0	6.0201	0.0544	0.0052
No log	1	499	3.0410	0.0078	6.8816	0.0502	0.0048
0.0309	2	998	3.0433	0.0156	7.9806	0.0527	0.0104
0.0555	3	1497	2.9969	0.0312	10.1813	0.0517	0.0049
0.1036	4	1996	3.0105	0.0625	13.5910	0.0423	0.0041
3.0193	5	2495	3.0067	0.125	19.3228	0.0517	0.0049
3.0163	6	2994	3.0059	0.25	30.0546	0.0491	0.0047
3.0197	7	3493	3.0113	0.5	50.6477	0.0449	0.0043

Framework versions

• Transformers 4.57.0
• Pytorch 2.8.0+cu128
• Datasets 4.3.0
• Tokenizers 0.22.1