roberta-base-finetuned-semeval24-V2 – AI Model by andricValdez | AlphaNeural AI

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andricValdez/
roberta-base-finetuned-semeval24-V2

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FacebookAI/roberta-base

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roberta-base-finetuned-semeval24-V2

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: 2.6925
Accuracy: 0.7328
F1: 0.7132

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	1872	1.7943	0.7554	0.7424
0.0175	2.0	3744	1.6120	0.7898	0.7812
0.0175	3.0	5616	2.1143	0.7704	0.7601
0.0014	4.0	7488	2.4555	0.7328	0.7138
0.0014	5.0	9360	2.6925	0.7328	0.7132

Framework versions

Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1