c01062d41efcf2f93c5e50873f63b17e

This model is a fine-tuned version of FacebookAI/xlm-roberta-large-finetuned-conll02-spanish on the nyu-mll/glue [wnli] dataset. It achieves the following results on the evaluation set:

• Loss: 0.6871
• Data Size: 1.0
• Epoch Runtime: 7.5815
• Accuracy: 0.5625
• F1 Macro: 0.36
• Rouge1: 0.5625
• Rouge2: 0.0
• Rougel: 0.5625
• Rougelsum: 0.5625

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	0.7801	0	0.7529	0.4375	0.3043	0.4375	0.0	0.4375	0.4375
No log	1	19	0.8685	0.0078	1.2708	0.5625	0.36	0.5625	0.0	0.5625	0.5625
No log	2	38	0.6960	0.0156	2.1977	0.5625	0.36	0.5625	0.0	0.5625	0.5625
No log	3	57	0.6896	0.0312	2.7814	0.5625	0.36	0.5625	0.0	0.5625	0.5625
No log	4	76	0.6859	0.0625	3.3584	0.5625	0.36	0.5625	0.0	0.5625	0.5625
No log	5	95	0.6949	0.125	3.8007	0.4219	0.3178	0.4219	0.0	0.4219	0.4219
0.0834	6	114	0.6977	0.25	4.2978	0.4375	0.3043	0.4375	0.0	0.4375	0.4375
0.0834	7	133	0.6862	0.5	5.1580	0.5625	0.36	0.5625	0.0	0.5625	0.5625
0.5273	8.0	152	0.6871	1.0	7.5815	0.5625	0.36	0.5625	0.0	0.5625	0.5625

Framework versions

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