4186cfdf1d95bdfa0471b8e053c2cbd6

This model is a fine-tuned version of FacebookAI/xlm-roberta-large-finetuned-conll03-german on the nyu-mll/glue [mrpc] dataset. It achieves the following results on the evaluation set:

• Loss: 0.6460
• Data Size: 1.0
• Epoch Runtime: 24.1408
• Accuracy: 0.6651
• F1 Macro: 0.3994
• Rouge1: 0.6657
• Rouge2: 0.0
• Rougel: 0.6645
• Rougelsum: 0.6651

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	Rouge1	Rouge2	Rougel	Rougelsum
No log	0	0	0.6627	0	3.2616	0.6645	0.4009	0.6651	0.0	0.6645	0.6645
No log	1	114	0.8463	0.0078	3.6675	0.6651	0.3994	0.6657	0.0	0.6645	0.6651
No log	2	228	0.6482	0.0156	4.3664	0.6651	0.3994	0.6657	0.0	0.6645	0.6651
No log	3	342	0.6360	0.0312	5.2776	0.6651	0.3994	0.6657	0.0	0.6645	0.6651
0.022	4	456	0.6350	0.0625	6.4853	0.6651	0.3994	0.6657	0.0	0.6645	0.6651
0.022	5	570	0.6404	0.125	7.4629	0.6651	0.3994	0.6657	0.0	0.6645	0.6651
0.022	6	684	0.6376	0.25	9.7413	0.6651	0.3994	0.6657	0.0	0.6645	0.6651
0.1603	7	798	0.6379	0.5	14.5205	0.6651	0.3994	0.6657	0.0	0.6645	0.6651
0.6475	8.0	912	0.6460	1.0	24.1408	0.6651	0.3994	0.6657	0.0	0.6645	0.6651

Framework versions

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