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dgx1_distil_w2v2_base_mozilla_12_to_6_batch_16_epoch_20_continue
This model is a fine-tuned version of rohitp1/dgx2_distil_w2v2_base_mozilla_12_to_6_batch_16_epoch_30 on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 33.4149
- eval_wer: 0.9868
- eval_runtime: 768.2877
- eval_samples_per_second: 7.81
- eval_steps_per_second: 7.81
- epoch: 13.23
- step: 900
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: 1
- seed: 42
- gradient_accumulation_steps: 128
- total_train_batch_size: 2048
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 20
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.8.0
- Tokenizers 0.13.2