roberta_cosine_adamw_torch_fused – AI Model by maulairfani | AlphaNeural AI

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maulairfani/
roberta_cosine_adamw_torch_fused

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text-classification

generated_from_trainer

FacebookAI/roberta-large

autotrain_compatible

endpoints_compatible

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roberta_cosine_adamw_torch_fused

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

Loss: 1.4842
F1 macro: 0.2732
Weighted: 0.4704
Balanced accuracy: 0.3585

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: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	F1 macro	Weighted	Balanced accuracy
1.936	1.0	77	1.9420	0.0143	0.0070	0.125
1.747	2.0	154	1.7184	0.1319	0.2747	0.2271
1.6439	3.0	231	1.7182	0.1717	0.2495	0.2961
1.5361	4.0	308	1.4554	0.2328	0.4842	0.3004
1.3294	5.0	385	1.5815	0.2189	0.3779	0.3188
1.1602	6.0	462	1.5172	0.2386	0.4371	0.3296
1.2601	7.0	539	1.4842	0.2732	0.4704	0.3585

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1