roberta_finetune_CPS_gpt4_v1 – AI Model by aminsamadi | AlphaNeural AI

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roberta_finetune_CPS_gpt4_v1

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FacebookAI/roberta-base

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roberta_finetune_CPS_gpt4_v1

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

Loss: 1.9812
Accuracy: 0.7240
F1-micro: 0.7240
F1-macro: 0.6314

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1-micro	F1-macro
0.8297	1.0	777	0.9411	0.6812	0.6812	0.5509
0.7182	2.0	1554	0.8896	0.7199	0.7199	0.5770
0.3985	3.0	2331	0.8948	0.7260	0.7260	0.6369
0.4776	4.0	3108	1.1500	0.7084	0.7084	0.6066
0.3083	5.0	3885	1.3337	0.7152	0.7152	0.6071
0.5448	6.0	4662	1.6259	0.7220	0.7220	0.6008
0.3451	7.0	5439	1.7975	0.7199	0.7199	0.6168
0.3331	8.0	6216	1.8839	0.7267	0.7267	0.6439
0.0878	9.0	6993	1.9226	0.7281	0.7281	0.6346
0.0035	10.0	7770	1.9812	0.7240	0.7240	0.6314

Framework versions

Transformers 4.42.4
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1