1.26 GB
13 files
Updated about 2 months ago
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| Name | Size | Uploaded | Xet hash |
|---|---|---|---|
| runs | 2 items | ||
| .gitattributes | 1.18 kB xet | 92f0f183 | |
| .gitignore | 13 Bytes xet | dfb1ef87 | |
| README.md | 1.25 kB xet | bcc8d996 | |
| added_tokens.json | 23 Bytes xet | 56e3d5b9 | |
| config.json | 1.66 kB xet | 65ae4c64 | |
| preprocessor_config.json | 214 Bytes xet | 3bbd24ba | |
| pytorch_model.bin | 1.26 GB xet | 84f7fc31 | |
| special_tokens_map.json | 309 Bytes xet | 3bba2e4c | |
| tokenizer_config.json | 260 Bytes xet | 699ef162 | |
| training_args.bin | 2.86 kB xet | f069fffd | |
| vocab.json | 775 Bytes xet | 2fd73158 |
wav2vec2-large-xls-r-300m-hindi
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset.
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3
- Total size
- 1.26 GB
- Files
- 13
- Last updated
- Jul 3
- Pre-warmed CDN
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