File size: 2,108 Bytes
af43350 |
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 61 62 63 64 65 66 67 68 69 70 71 72 73 74 |
---
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- automatic-speech-recognition
- ./sample_speech.py
- generated_from_trainer
model-index:
- name: zhko_xlsr_run1
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. -->
# zhko_xlsr_run1
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the ./SAMPLE_SPEECH.PY - NA dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1948
- Cer: 0.4465
## 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: 0.0003
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 5.0444 | 1.0 | 6593 | 4.6695 | 0.8764 |
| 3.2619 | 2.0 | 13186 | 2.9759 | 0.6249 |
| 2.7859 | 3.0 | 19779 | 2.5370 | 0.5421 |
| 2.3947 | 4.0 | 26372 | 2.3582 | 0.5159 |
| 2.1313 | 5.0 | 32965 | 2.2462 | 0.4872 |
| 1.8083 | 6.0 | 39558 | 2.2104 | 0.4696 |
| 1.5209 | 7.0 | 46151 | 2.1621 | 0.4661 |
| 1.3735 | 8.0 | 52744 | 2.2031 | 0.4582 |
| 1.1354 | 9.0 | 59337 | 2.1740 | 0.4492 |
| 1.0788 | 10.0 | 65930 | 2.1948 | 0.4465 |
### Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
|