hubert-base-ls960-fsc-h – AI Model by gokuls | AlphaNeural AI

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gokuls/
hubert-base-ls960-fsc-h

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facebook/hubert-base-ls960

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hubert-base-ls960-fsc-h

This model is a fine-tuned version of facebook/hubert-base-ls960 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.7232
Accuracy: 0.2557

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: 0.0005
train_batch_size: 48
eval_batch_size: 48
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 192
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 25

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.9959	120	1.7232	0.2557
No log	2.0	241	1.7236	0.2557
No log	2.9959	361	1.7201	0.2383
No log	4.0	482	1.7198	0.2557
No log	4.9959	602	1.7183	0.2557
No log	6.0	723	1.7203	0.2557

Framework versions

Transformers 4.43.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.19.1