wev2vec-base960-agu-amharic

Gizachew/wev2vec-base960-agu-amharic

wev2vec-base960-agu-amharic is a machine learning model from Gizachew. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. 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

Library: transformers
License: apache-2.0
Model type: wav2vec2
Access: Public
Created: Jun 16, 2024
Updated: Jun 16, 2024
SHA: e2991db5

Base models

facebook/wav2vec2-base-960h

Model card

From the Hugging Face model README

wev2vec-base960-agu-amharic

This model is a fine-tuned version of facebook/wav2vec2-base-960h on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3117
Accuracy: 0.9230

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: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.8682	0.6649	500	0.7632	0.7564
0.4482	1.3298	1000	0.3501	0.9103
0.2724	1.9947	1500	0.3117	0.9230
0.2269	2.6596	2000	0.3456	0.9268
0.1663	3.3245	2500	0.3743	0.9275
0.1737	3.9894	3000	0.3714	0.9327

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1

Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Jun 16, 2024
Updated: Jun 16, 2024