đ wav2vec2-large-xls-r-300m-armenian
This model is a fine - tuned version of facebook/wav2vec2-xls-r-300m on the Armenian dataset, aiming to provide high - quality automatic speech recognition services.
đ Quick Start
This model is a fine - tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA - FOUNDATION/COMMON_VOICE_7_0 - HY - AM dataset.
It achieves the following results on the evaluation set:
đ Documentation
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon = 1e - 08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 200.0
- mixed_precision_training: Native AMP
Training results
| Training Loss |
Epoch |
Step |
Validation Loss |
Wer |
| 1.7294 |
27.78 |
500 |
0.8540 |
0.9944 |
| 0.8863 |
55.56 |
1000 |
0.7282 |
0.7312 |
| 0.5789 |
83.33 |
1500 |
0.8178 |
0.8102 |
| 0.3899 |
111.11 |
2000 |
0.8034 |
0.7701 |
| 0.2869 |
138.89 |
2500 |
0.9061 |
0.6999 |
| 0.1934 |
166.67 |
3000 |
0.9400 |
0.7105 |
| 0.1551 |
194.44 |
3500 |
0.9667 |
0.6955 |
Framework versions
- Transformers 4.16.0.dev0
- Pytorch 1.10.1+cu102
- Datasets 1.17.1.dev0
- Tokenizers 0.11.0
đ License
This model is released under the Apache 2.0 license.
đ Model Information
| Property |
Details |
| Model Type |
wav2vec2-large-xls-r-300m-armenian |
| Training Data |
mozilla-foundation/common_voice_7_0 (hy-AM) |
| Generated From |
Trainer |
| Related Events |
robust-speech-event, hf-asr-leaderboard |
| Task |
Automatic Speech Recognition |
| Results on Evaluation Set |
Loss: 0.9669, Wer: 0.6942 |
| Training Hyperparameters |
learning_rate: 0.0003, train_batch_size: 32, eval_batch_size: 32, seed: 42, optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08, lr_scheduler_type: linear, lr_scheduler_warmup_steps: 500, num_epochs: 200.0, mixed_precision_training: Native AMP |
| Framework Versions |
Transformers 4.16.0.dev0, Pytorch 1.10.1+cu102, Datasets 1.17.1.dev0, Tokenizers 0.11.0 |
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