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base_phase3
This model is a fine-tuned version of nguyenminhly/base_phase2 on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.2736
- eval_wer: 0.1305
- eval_runtime: 27.7898
- eval_samples_per_second: 13.494
- eval_steps_per_second: 1.691
- epoch: 49.44
- step: 44000
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 70
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3