adapter_head_full_noam_lr_2e-4
This model is a fine-tuned version of facebook/w2v-bert-2.0 on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.2768
- eval_wer: 0.1823
- eval_cer: 0.0380
- eval_runtime: 140.1706
- eval_samples_per_second: 30.541
- eval_steps_per_second: 3.824
- epoch: 73.8462
- step: 24000
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_steps: 5500
- num_epochs: 100
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for LevonHakobyan/adapter_head_full_noam_lr_2e-4
Base model
facebook/w2v-bert-2.0