xls-r-1b-bigcgen-male-5hrs-model
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the BIGCGEN - NA dataset. It achieves the following results on the evaluation set:
- Loss: 0.5146
- Wer: 0.5626
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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: 500
- num_epochs: 30.0
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
No log | 0.4219 | 100 | 4.0011 | 1.0 |
No log | 0.8439 | 200 | 2.7752 | 1.0 |
No log | 1.2658 | 300 | 0.8068 | 0.8170 |
No log | 1.6878 | 400 | 0.7022 | 0.7646 |
5.5827 | 2.1097 | 500 | 0.5850 | 0.6982 |
5.5827 | 2.5316 | 600 | 0.5745 | 0.6058 |
5.5827 | 2.9536 | 700 | 0.5982 | 0.5846 |
5.5827 | 3.3755 | 800 | 0.5711 | 0.6152 |
5.5827 | 3.7975 | 900 | 0.5385 | 0.5780 |
1.0918 | 4.2194 | 1000 | 0.5452 | 0.6315 |
1.0918 | 4.6414 | 1100 | 0.5541 | 0.5615 |
1.0918 | 5.0633 | 1200 | 0.5146 | 0.5631 |
1.0918 | 5.4852 | 1300 | 0.5406 | 0.5766 |
1.0918 | 5.9072 | 1400 | 0.5415 | 0.5562 |
0.7578 | 6.3291 | 1500 | 0.5689 | 0.5521 |
0.7578 | 6.7511 | 1600 | 0.5789 | 0.5645 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Base model
facebook/wav2vec2-xls-r-1b