hubert-base-ls960-fsc

gokuls/hubert-base-ls960-fsc

hubert-base-ls960-fsc is a machine learning model from gokuls. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

License: apache-2.0
Model type: hubert
Access: Public
Created: Oct 4, 2024
Updated: Oct 4, 2024
SHA: bcd7bc44

Base models

facebook/hubert-base-ls960

Model card

From the Hugging Face model README

hubert-base-ls960-fsc

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: 0.0230
Accuracy: 0.9939

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	0.0706	0.9873
No log	2.0	241	0.0607	0.9868
No log	2.9959	361	0.0661	0.9831
No log	4.0	482	0.0518	0.9839
No log	4.9959	602	0.0230	0.9939
No log	6.0	723	0.0516	0.9858
No log	6.9959	843	0.0292	0.9937
No log	8.0	964	0.0276	0.9929
0.2849	8.9959	1084	0.0301	0.9937
0.2849	10.0	1205	0.0279	0.9937

Framework versions

Transformers 4.43.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.19.1

Type: hubert
License: apache-2.0
Created: Oct 4, 2024
Updated: Oct 4, 2024