metadata
base_model: charsiu/zh_w2v2_tiny_fc_10ms
tags:
- generated_from_trainer
model-index:
- name: wav2vec2_tiny_ja_roman
results: []
wav2vec2_tiny_ja_roman
This model is a fine-tuned version of charsiu/zh_w2v2_tiny_fc_10ms on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0716
- eval_wer: 0.5521
- eval_runtime: 26.495
- eval_samples_per_second: 9.436
- eval_steps_per_second: 1.208
- epoch: 30.0
- step: 4455
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
- gradient_accumulation_steps: 4
- 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: 742
- num_epochs: 50
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1