language: | |
- mr | |
license: apache-2.0 | |
tags: | |
- automatic-speech-recognition | |
- mozilla-foundation/common_voice_8_0 | |
- robust-speech-event | |
- generated_from_trainer | |
- hf-asr-leaderboard | |
base_model: facebook/wav2vec2-xls-r-300m | |
model-index: | |
- name: XLS-R-marathi | |
results: [] | |
<!-- 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. --> | |
# XLS-R-marathi | |
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - MR 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: 32 | |
- eval_batch_size: 8 | |
- seed: 42 | |
- gradient_accumulation_steps: 2 | |
- total_train_batch_size: 64 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- lr_scheduler_warmup_steps: 1200 | |
- num_epochs: 30.0 | |
- mixed_precision_training: Native AMP | |
### Framework versions | |
- Transformers 4.17.0.dev0 | |
- Pytorch 1.10.2+cu113 | |
- Datasets 1.18.3 | |
- Tokenizers 0.10.3 | |