metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: zipformer-khmer
results: []
zipformer-khmer
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 1359.7400
- eval_model_preparation_time: 0.017
- eval_wer: 10.2961
- eval_runtime: 7.509
- eval_samples_per_second: 27.434
- eval_steps_per_second: 3.463
- step: 0
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 100
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.57.1
- Pytorch 2.7.1+cu118
- Datasets 3.6.0
- Tokenizers 0.22.1