Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: DewiBrynJones/wav2vec2-xls-r-1b-ft-yt
+tags:
+- 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