YAML Metadata
Error:
"language[0]" must only contain lowercase characters
YAML Metadata
Error:
"language[0]" with value "hy-AM" is not valid. It must be an ISO 639-1, 639-2 or 639-3 code (two/three letters), or a special value like "code", "multilingual". If you want to use BCP-47 identifiers, you can specify them in language_bcp47.
wav2vec2-large-xls-r-300m-armenian
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:
- Loss: 0.9669
- Wer: 0.6942
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
- Downloads last month
- 369
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Dataset used to train infinitejoy/wav2vec2-large-xls-r-300m-armenian
Spaces using infinitejoy/wav2vec2-large-xls-r-300m-armenian 31
Evaluation results
- Test WER on Common Voice 7self-reported101.627
- Test CER on Common Voice 7self-reported158.767