RoBERTa_EmpAI_Definitivo

This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.9983

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: 1e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 500
• num_epochs: 13
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	483	1.0998
1.286	2.0	967	1.0487
1.1701	3.0	1450	1.0243
1.1044	4.0	1934	1.0189
1.0555	5.0	2417	1.0084
1.0418	6.0	2901	1.0030
1.0181	7.0	3384	1.0207
1.023	7.99	3864	0.9954
1.018	9.0	4347	0.9925
1.0144	10.0	4831	0.9842
1.0024	11.0	5314	0.9665
1.0003	12.0	5798	0.9864
0.9924	12.99	6279	0.9767

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2