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---
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: []
---
<!-- 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. -->
# wav2vec2-xls-r-1b-yt-ft-cv-cy
This model is a fine-tuned version of [DewiBrynJones/wav2vec2-xls-r-1b-ft-yt](https://huggingface.co/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
|