<!-- 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. -->
egy-slang-model
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.9273
- Wer: 1.0000
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: 0.001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 1.64 | 200 | 2.9735 | 1.0 |
| 3.8098 | 3.28 | 400 | 2.9765 | 1.0 |
| 3.8098 | 4.91 | 600 | 2.9662 | 1.0 |
| 2.9531 | 6.56 | 800 | 2.9708 | 1.0 |
| 2.9531 | 8.2 | 1000 | 2.9673 | 1.0 |
| 2.9259 | 9.83 | 1200 | 2.9989 | 1.0 |
| 2.9259 | 11.47 | 1400 | 2.9889 | 1.0 |
| 2.9023 | 13.11 | 1600 | 2.9739 | 1.0 |
| 2.9023 | 14.75 | 1800 | 3.0040 | 1.0000 |
| 2.8832 | 16.39 | 2000 | 3.0170 | 1.0 |
| 2.8832 | 18.03 | 2200 | 2.9963 | 0.9999 |
| 2.8691 | 19.67 | 2400 | 2.9273 | 1.0000 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.1
- Datasets 1.13.3
- Tokenizers 0.10.3
