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libri-smallw2v2-no-copy-mse-alpha-0.75-T-1-take-2
This model is a fine-tuned version of rohitp1/libri-smallw2v2-no-copy-mse-alpha-0.75-T-1 on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 221.7213
- eval_wer: 0.4782
- eval_runtime: 298.2644
- eval_samples_per_second: 9.062
- eval_steps_per_second: 0.285
- epoch: 66.0
- step: 23562
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.3
- num_epochs: 100
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.8.0
- Tokenizers 0.13.2