wav2vec2-xls-r-300m-combined-test
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:
- eval_loss: 0.5286
- eval_wer: 0.5981
- eval_runtime: 1285.7173
- eval_samples_per_second: 3.433
- eval_steps_per_second: 1.717
- epoch: 0.12
- step: 1200
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: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 10000
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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Model tree for zambezivoice/wav2vec2-xls-r-300m-combined-test
Base model
facebook/wav2vec2-xls-r-300m