File size: 2,486 Bytes
d5564fa 4525cb2 c6f6319 4525cb2 c6f6319 4525cb2 c6f6319 4525cb2 c6f6319 d5564fa 4525cb2 d5564fa 4525cb2 d5564fa 4525cb2 d5564fa 4525cb2 d5564fa 4525cb2 d5564fa 4525cb2 d5564fa 4525cb2 d5564fa 4525cb2 d5564fa 4525cb2 d5564fa 4525cb2 d5564fa 4525cb2 d5564fa 4525cb2 d5564fa 4525cb2 d5564fa 4525cb2 d5564fa 4525cb2 d5564fa 4525cb2 |
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 75 76 77 78 79 80 81 82 83 84 85 86 87 88 |
---
license: apache-2.0
tags:
- generated_from_trainer
base_model: facebook/wav2vec2-xls-r-300m
datasets:
- common_voice_13_0
metrics:
- wer
model-index:
- name: wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod16
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: common_voice_13_0
type: common_voice_13_0
config: id
split: test
args: id
metrics:
- type: wer
value: 0.31356010324483774
name: Wer
---
<!-- 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-xlsr-53-CV-demo-google-colab-Ezra_William_Prod16
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_13_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3425
- Wer: 0.3136
## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 2.9562 | 1.0 | 278 | 2.9246 | 1.0 |
| 2.8689 | 2.0 | 556 | 2.7856 | 1.0 |
| 1.1264 | 3.0 | 834 | 0.6656 | 0.6370 |
| 0.6913 | 4.0 | 1112 | 0.5009 | 0.5000 |
| 0.5835 | 5.0 | 1390 | 0.4370 | 0.4477 |
| 0.4684 | 6.0 | 1668 | 0.3923 | 0.3857 |
| 0.4139 | 7.0 | 1946 | 0.3876 | 0.3761 |
| 0.389 | 8.0 | 2224 | 0.3881 | 0.3551 |
| 0.3559 | 9.0 | 2502 | 0.3580 | 0.3387 |
| 0.3228 | 10.0 | 2780 | 0.3552 | 0.3249 |
| 0.3295 | 11.0 | 3058 | 0.3385 | 0.3197 |
| 0.3112 | 12.0 | 3336 | 0.3425 | 0.3136 |
### Framework versions
- Transformers 4.40.0
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
|