metadata
license: apache-2.0
base_model: jonatasgrosman/wav2vec2-xls-r-1b-french
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: xls_1b_decoding_fr_decoding_test_iter
results: []
xls_1b_decoding_fr_decoding_test_iter
This model is a fine-tuned version of jonatasgrosman/wav2vec2-xls-r-1b-french on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7122
- Wer: 0.4249
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 40
- num_epochs: 30
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.43.0.dev0
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1