inctraining5 – AI Model by mn720 | AlphaNeural AI

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mn720/
inctraining5

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automatic-speech-recognition

generated_from_trainer

mozilla-foundation/common_voice_15_0

openai/whisper-small

endpoints_compatible

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Incremental Swahili Luganda

This model is a fine-tuned version of openai/whisper-small on the Mix data dataset. It achieves the following results on the evaluation set:

Loss: 0.3450
Wer: 30.7579

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1454	0.1129	500	0.3666	32.6860
0.1537	0.2258	1000	0.3721	32.9290
0.1471	0.3388	1500	0.3665	32.9660
0.1397	0.4517	2000	0.3626	32.0067
0.1501	0.5646	2500	0.3562	32.2413
0.1381	0.6775	3000	0.3510	30.8636
0.14	0.7904	3500	0.3476	30.9122
0.135	0.9033	4000	0.3450	30.7579

Framework versions

Transformers 4.40.0
Pytorch 2.2.2+cu118
Datasets 2.19.0
Tokenizers 0.19.1