mental_roberta_stress – AI Model by karangupta224 | AlphaNeural AI

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karangupta224/
mental_roberta_stress

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text-classification

generated_from_trainer

mental/mental-roberta-base

autotrain_compatible

endpoints_compatible

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mental_roberta_stress

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

Loss: 0.4034
Accuracy: 0.8266
F1: 0.8278
Precision: 0.8490
Recall: 0.8076

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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.6934	0.99	31	0.6885	0.5427	0.6930	0.5302	1.0
0.6692	1.98	62	0.6606	0.5664	0.7042	0.5434	1.0
0.46	2.98	93	0.4357	0.8098	0.8116	0.8300	0.7940
0.3539	3.97	124	0.4034	0.8266	0.8278	0.8490	0.8076

Framework versions

Transformers 4.39.1
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2