metadata
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
datasets:
- common_voice_16_1
model-index:
- name: xlsr_hindi
results: []
xlsr_hindi
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_16_1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.9242
- Wer : 0.4032
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: 10
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 30
- 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
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 12.3878 | 3.61 | 200 | 3.7452 | 1.0 |
| 3.3396 | 7.23 | 400 | 2.7621 | 1.0 |
| 1.1465 | 10.84 | 600 | 0.9738 | 0.5791 |
| 0.4158 | 14.46 | 800 | 0.8970 | 0.4873 |
| 0.2417 | 18.07 | 1000 | 0.8884 | 0.4374 |
| 0.1703 | 21.69 | 1200 | 0.8942 | 0.4164 |
| 0.1293 | 25.3 | 1400 | 0.9219 | 0.4093 |
| 0.1027 | 28.92 | 1600 | 0.9242 | 0.4032 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2