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w2v-bert-2.0-turkish-colab-CV6.1 – AI Model by ylacombe | AlphaNeural AI
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ylacombe
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w2v-bert-2.0-turkish-colab-CV6.1
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transformers
tensorboard
safetensors
wav2vec2-bert
generated_from_trainer
common_voice_6_1
ylacombe/w2v-bert-2.0
finetune
model-index
endpoints_compatible
us
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w2v-bert-2.0-turkish-colab-CV6.1
This model is a fine-tuned version of
ylacombe/w2v-bert-2.0
on the common_voice_6_1 dataset. It achieves the following results on the evaluation set:
Loss: 0.1978
Wer: 0.1838
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: 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_steps: 500
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
4.4016
0.92
100
2.4338
1.0428
0.5644
1.83
200
0.2224
0.1936
0.1692
2.75
300
0.1978
0.1838
Framework versions
Transformers 4.37.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
