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w2v-bert-2.0-Swahili-CV-train-8.0 – AI Model by dmusingu | AlphaNeural AI
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dmusingu
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w2v-bert-2.0-Swahili-CV-train-8.0
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transformers
safetensors
wav2vec2-bert
automatic-speech-recognition
generated_from_trainer
common_voice_8_0
facebook/w2v-bert-2.0
finetune
mit
model-index
endpoints_compatible
us
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w2v-bert-2.0-Swahili-CV-train-8.0
This model is a fine-tuned version of
facebook/w2v-bert-2.0
on the common_voice_8_0 dataset. It achieves the following results on the evaluation set:
Loss: inf
Wer: 0.1762
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: 5e-05
train_batch_size: 64
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.3054
1.95
300
inf
0.1116
0.1079
3.91
600
inf
0.1036
0.0821
5.86
900
inf
0.0918
0.0959
7.82
1200
inf
0.2150
0.3709
9.77
1500
inf
0.1762
Framework versions
Transformers 4.38.1
Pytorch 2.2.1+cu121
Datasets 2.17.0
Tokenizers 0.15.2
