metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-1b
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-1b-E30_speed
results: []
wav2vec2-1b-E30_speed
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5758
- Cer: 14.7028
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: 0.0001
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 16.6326 | 0.2580 | 200 | 4.7434 | 100.0 |
| 4.6388 | 0.5160 | 400 | 3.9414 | 88.5926 |
| 2.026 | 0.7741 | 600 | 1.7935 | 41.2711 |
| 1.1754 | 1.0321 | 800 | 1.2455 | 29.8990 |
| 0.8337 | 1.2901 | 1000 | 1.0037 | 25.8047 |
| 0.7399 | 1.5481 | 1200 | 0.9414 | 23.3846 |
| 0.6535 | 1.8062 | 1400 | 0.8053 | 21.4344 |
| 0.544 | 2.0642 | 1600 | 0.9218 | 23.1673 |
| 0.4264 | 2.3222 | 1800 | 0.8181 | 20.7354 |
| 0.387 | 2.5802 | 2000 | 0.7663 | 19.5900 |
| 0.3623 | 2.8383 | 2200 | 0.7863 | 20.2420 |
| 0.3416 | 3.0963 | 2400 | 0.8668 | 22.5975 |
| 0.2731 | 3.3543 | 2600 | 0.7251 | 18.6501 |
| 0.2394 | 3.6123 | 2800 | 0.6185 | 16.2183 |
| 0.2255 | 3.8703 | 3000 | 0.5926 | 15.5839 |
| 0.1874 | 4.1284 | 3200 | 0.5889 | 15.3900 |
| 0.1549 | 4.3864 | 3400 | 0.5765 | 15.1375 |
| 0.1514 | 4.6444 | 3600 | 0.5856 | 14.8614 |
| 0.1424 | 4.9024 | 3800 | 0.5758 | 14.7028 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.3.1.post100
- Datasets 2.19.1
- Tokenizers 0.20.1