salty-skunk-70 – AI Model by ElMad | AlphaNeural AI

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ElMad/
salty-skunk-70

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FacebookAI/roberta-base

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salty-skunk-70

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: 0.6817
Hamming Loss: 0.379
Zero One Loss: 1.0
Jaccard Score: 0.9363
Hamming Loss Optimised: 0.1123
Hamming Loss Threshold: 0.5944
Zero One Loss Optimised: 1.0
Zero One Loss Threshold: 0.9000
Jaccard Score Optimised: 0.8878
Jaccard Score Threshold: 0.2889

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: 8.506034831608646e-06
train_batch_size: 32
eval_batch_size: 32
seed: 2024
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Hamming Loss	Zero One Loss	Jaccard Score	Hamming Loss Optimised	Hamming Loss Threshold	Zero One Loss Optimised	Zero One Loss Threshold	Jaccard Score Optimised	Jaccard Score Threshold
No log	1.0	100	0.6860	0.4245	1.0	0.9167	0.1123	0.5944	1.0	0.9000	0.8878	0.2889
No log	2.0	200	0.6838	0.3992	1.0	0.9293	0.1123	0.5944	1.0	0.9000	0.8878	0.2889
No log	3.0	300	0.6823	0.3819	1.0	0.9357	0.1123	0.5944	1.0	0.9000	0.8878	0.2889
No log	4.0	400	0.6817	0.379	1.0	0.9363	0.1123	0.5944	1.0	0.9000	0.8878	0.2889

Framework versions

PEFT 0.13.2
Transformers 4.47.0
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.21.0