metadata
language:
- ga-IE
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_7_0
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: ''
results: []
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - GA-IE dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Wer: 1.0
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- 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: 100.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.0395 | 1.94 | 500 | 3.0831 | 1.0 |
| 3.0126 | 3.87 | 1000 | 2.9935 | 1.0 |
| 2.9259 | 5.81 | 1500 | 2.9915 | 1.0 |
| 2.9109 | 7.75 | 2000 | 2.9006 | 1.0 |
| 2.8934 | 9.69 | 2500 | 2.9266 | 1.0 |
| 2.9014 | 11.63 | 3000 | 2.8970 | 1.0 |
| 2.8932 | 13.56 | 3500 | 2.8874 | 1.0 |
| 0.0 | 15.5 | 4000 | nan | 1.0 |
| 0.0 | 17.44 | 4500 | nan | 1.0 |
| 0.0 | 19.38 | 5000 | nan | 1.0 |
| 0.0 | 21.32 | 5500 | nan | 1.0 |
| 0.0 | 23.26 | 6000 | nan | 1.0 |
| 0.0 | 25.19 | 6500 | nan | 1.0 |
| 0.0 | 27.13 | 7000 | nan | 1.0 |
| 0.0 | 29.07 | 7500 | nan | 1.0 |
| 0.0 | 31.01 | 8000 | nan | 1.0 |
| 0.0 | 32.94 | 8500 | nan | 1.0 |
| 0.0 | 34.88 | 9000 | nan | 1.0 |
| 0.0 | 36.82 | 9500 | nan | 1.0 |
| 0.0 | 38.76 | 10000 | nan | 1.0 |
| 0.0 | 40.7 | 10500 | nan | 1.0 |
| 0.0 | 42.63 | 11000 | nan | 1.0 |
| 0.0 | 44.57 | 11500 | nan | 1.0 |
| 0.0 | 46.51 | 12000 | nan | 1.0 |
| 0.0 | 48.45 | 12500 | nan | 1.0 |
| 0.0 | 50.39 | 13000 | nan | 1.0 |
| 0.0 | 52.32 | 13500 | nan | 1.0 |
| 0.0 | 54.26 | 14000 | nan | 1.0 |
| 0.0 | 56.2 | 14500 | nan | 1.0 |
| 0.0 | 58.14 | 15000 | nan | 1.0 |
| 0.0 | 60.08 | 15500 | nan | 1.0 |
| 0.0 | 62.02 | 16000 | nan | 1.0 |
| 0.0 | 63.95 | 16500 | nan | 1.0 |
| 0.0 | 65.89 | 17000 | nan | 1.0 |
| 0.0 | 67.83 | 17500 | nan | 1.0 |
| 0.0 | 69.77 | 18000 | nan | 1.0 |
| 0.0 | 71.7 | 18500 | nan | 1.0 |
| 0.0 | 73.64 | 19000 | nan | 1.0 |
| 0.0 | 75.58 | 19500 | nan | 1.0 |
| 0.0 | 77.52 | 20000 | nan | 1.0 |
| 0.0 | 79.46 | 20500 | nan | 1.0 |
| 0.0 | 81.39 | 21000 | nan | 1.0 |
| 0.0 | 83.33 | 21500 | nan | 1.0 |
| 0.0 | 85.27 | 22000 | nan | 1.0 |
| 0.0 | 87.21 | 22500 | nan | 1.0 |
| 0.0 | 89.15 | 23000 | nan | 1.0 |
| 0.0 | 91.09 | 23500 | nan | 1.0 |
| 0.0 | 93.02 | 24000 | nan | 1.0 |
| 0.0 | 94.96 | 24500 | nan | 1.0 |
| 0.0 | 96.9 | 25000 | nan | 1.0 |
| 0.0 | 98.83 | 25500 | nan | 1.0 |
Framework versions
- Transformers 4.16.0.dev0
- Pytorch 1.10.1+cu102
- Datasets 1.17.1.dev0
- Tokenizers 0.11.0