working – AI Model by NBTailee | AlphaNeural AI

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NBTailee/
working

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text-classification

generated_from_trainer

FacebookAI/roberta-large

autotrain_compatible

endpoints_compatible

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working

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

Loss: 0.8702
F1: 0.7181

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: 4e-05
train_batch_size: 16
eval_batch_size: 16
seed: 221
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 8
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
2.72	1.0	80	2.3874	0.0297
1.6717	2.0	160	0.9996	0.5367
0.7839	3.0	240	0.8316	0.5808
0.5646	4.0	320	0.8074	0.6597
0.4398	5.0	400	0.8010	0.6923
0.3582	6.0	480	0.8737	0.6893
0.2921	7.0	560	0.8037	0.7679
0.16	7.9057	632	0.8702	0.7181

Framework versions

Transformers 4.49.0.dev0
Pytorch 2.4.0
Datasets 3.0.0
Tokenizers 0.21.0