metadata
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: XLSR-LM-NewData
results: []
XLSR-LM-NewData
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1395
- Wer: 0.2952
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: 0.00024
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 800
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.4912 | 0.1165 | 1000 | 0.5497 | 0.7011 |
| 0.5377 | 0.2330 | 2000 | 0.3292 | 0.5364 |
| 0.4343 | 0.3494 | 3000 | 0.2475 | 0.4424 |
| 0.3678 | 0.4659 | 4000 | 0.2145 | 0.4014 |
| 0.3345 | 0.5824 | 5000 | 0.1898 | 0.3774 |
| 0.3029 | 0.6989 | 6000 | 0.1718 | 0.3441 |
| 0.2685 | 0.8153 | 7000 | 0.1517 | 0.3135 |
| 0.2385 | 0.9318 | 8000 | 0.1395 | 0.2952 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1