README.md

metadata

library_name: transformers
license: apache-2.0
base_model: DewiBrynJones/wav2vec2-xls-r-1b-ft-yt
tags:
  - automatic-speech-recognition
  - ./data-configs/cv.json
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: wav2vec2-xls-r-1b-yt-ft-cv-cy
    results: []

wav2vec2-xls-r-1b-yt-ft-cv-cy

This model is a fine-tuned version of DewiBrynJones/wav2vec2-xls-r-1b-ft-yt on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: nan
• Wer: 1.0

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: 4
• eval_batch_size: 16
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	0.1004	200	nan	1.0
No log	0.2008	400	nan	1.0
0.0	0.3012	600	nan	1.0
0.0	0.4016	800	nan	1.0
0.0	0.5020	1000	nan	1.0

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.1+cu124
• Datasets 3.1.0
• Tokenizers 0.20.3