cs_roberta_base-1 – AI Model by Adammz | AlphaNeural AI

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Adammz/
cs_roberta_base-1

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text-classification

generated_from_trainer

allenai/cs_roberta_base

autotrain_compatible

endpoints_compatible

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cs_roberta_base-1

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

Loss: 0.3743
Accuracy: 0.8905

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: 2e-05
train_batch_size: 46
eval_batch_size: 46
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.3782	1.0	1044	0.9372	0.79
0.7908	2.0	2088	0.6508	0.8418
0.5942	3.0	3132	0.5638	0.8604
0.4986	4.0	4176	0.4780	0.8707
0.4301	5.0	5220	0.4408	0.8794
0.3798	6.0	6264	0.4103	0.8821
0.3388	7.0	7308	0.3938	0.8842
0.3082	8.0	8352	0.3821	0.8909
0.2842	9.0	9396	0.3852	0.887
0.2674	10.0	10440	0.3743	0.8905

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.0
Tokenizers 0.15.0