ce-len3-bs256-lr1e-3 – AI Model by yangwang825 | AlphaNeural AI

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yangwang825/
ce-len3-bs256-lr1e-3

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text-classification

audio-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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ce-len3-bs256-lr1e-3

This model is a fine-tuned version of on the confit/voxceleb dataset. It achieves the following results on the evaluation set:

Loss: 0.2946
Accuracy: 0.9410

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: 0.001
train_batch_size: 256
eval_batch_size: 1
seed: 914
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
4.6728	1.0	523	4.3456	0.1504
3.224	2.0	1046	2.2589	0.5141
2.3964	3.0	1569	1.4663	0.6836
1.8474	4.0	2092	0.9548	0.7927
1.5275	5.0	2615	0.6698	0.8571
1.248	6.0	3138	0.5270	0.8899
1.0991	7.0	3661	0.4500	0.9037
0.9221	8.0	4184	0.3572	0.9267
0.7997	9.0	4707	0.3138	0.9353
0.7603	10.0	5230	0.2946	0.9410

Framework versions

Transformers 4.48.3
Pytorch 2.0.0+cu117
Datasets 3.2.0
Tokenizers 0.21.0