wav2vec2-xls-r-300m-swahili-cv-fleurs-alffa-word-lm – AI Model by bookbot | AlphaNeural AI

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bookbot/
wav2vec2-xls-r-300m-swahili-cv-fleurs-alffa-word-lm

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automatic-speech-recognition

bookbot/common_voice_16_1_sw

bookbot/ALFFA_swahili

bookbot/fleurs_sw

generated_from_trainer

facebook/wav2vec2-xls-r-300m

endpoints_compatible

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wav2vec2-xls-r-300m-swahili-cv-fleurs-alffa-word

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2057
Wer: 0.2194
Cer: 0.1098

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: 0.0002
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.3702	1.0	1961	0.2878	0.3335	0.1367
0.2333	2.0	3922	0.2324	0.2653	0.1219
0.172	3.0	5883	0.2136	0.2464	0.1162
0.1331	4.0	7844	0.2043	0.2287	0.1127
0.1018	5.0	9805	0.2057	0.2194	0.1098

Framework versions

Transformers 4.45.2
Pytorch 2.3.1
Datasets 2.19.2
Tokenizers 0.20.1