roberta-peft-rating – AI Model by pppereira3 | AlphaNeural AI

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pppereira3/
roberta-peft-rating

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FacebookAI/roberta-base

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roberta-peft-rating

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

Loss: 0.9893
Accuracy: 0.5555
Mse: 0.6434

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Mse
No log	1.0	425	1.3347	0.3631	1.1621
1.3948	2.0	850	1.1884	0.4617	1.0093
1.2586	3.0	1275	1.0602	0.5153	0.6819
1.0752	4.0	1700	1.0236	0.5301	0.7255
1.028	5.0	2125	1.0017	0.5428	0.6455
1.0183	6.0	2550	0.9974	0.5527	0.6541
1.0183	7.0	2975	0.9956	0.5514	0.6307
1.0076	8.0	3400	0.9925	0.5527	0.6510
0.9974	9.0	3825	0.9914	0.5589	0.6427
0.9863	10.0	4250	0.9893	0.5555	0.6434

Framework versions

PEFT 0.13.2
Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1