File size: 1,307 Bytes
4abc1d2 ad16c50 0b0b49e e040936 4abc1d2 e040936 4abc1d2 908a208 e040936 4abc1d2 e040936 31dbddd 4abc1d2 e040936 4abc1d2 e040936 4abc1d2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 |
---
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-large-asr-th-2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-large-asr-th-2
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.1819
- eval_wer: 0.3346
- eval_cer: 0.0910
- eval_runtime: 735.0436
- eval_samples_per_second: 13.822
- eval_steps_per_second: 1.728
- epoch: 0.95
- step: 4000
## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 48
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
### Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2
|