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_pause
results: []
wav2vec2-1b-E30_speed_pause
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: 0.5370
- Cer: 14.0038
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 |
|---|---|---|---|---|
| 10.2692 | 0.2580 | 200 | 3.0964 | 66.8527 |
| 1.6691 | 0.5160 | 400 | 1.5270 | 38.1461 |
| 1.1317 | 0.7741 | 600 | 1.3893 | 32.4894 |
| 0.9089 | 1.0321 | 800 | 1.0586 | 26.2394 |
| 0.7259 | 1.2901 | 1000 | 0.9065 | 21.8633 |
| 0.6488 | 1.5481 | 1200 | 0.8797 | 22.4977 |
| 0.5697 | 1.8062 | 1400 | 0.8176 | 20.8118 |
| 0.5042 | 2.0642 | 1600 | 0.8276 | 21.7693 |
| 0.4017 | 2.3222 | 1800 | 0.7741 | 20.5945 |
| 0.3848 | 2.5802 | 2000 | 0.7376 | 19.0848 |
| 0.366 | 2.8383 | 2200 | 0.7161 | 18.7441 |
| 0.3035 | 3.0963 | 2400 | 0.6149 | 16.0538 |
| 0.2463 | 3.3543 | 2600 | 0.6609 | 17.2991 |
| 0.2197 | 3.6123 | 2800 | 0.6462 | 16.7000 |
| 0.2193 | 3.8703 | 3000 | 0.6023 | 15.5251 |
| 0.1859 | 4.1284 | 3200 | 0.5970 | 15.5369 |
| 0.1645 | 4.3864 | 3400 | 0.5764 | 14.9319 |
| 0.1441 | 4.6444 | 3600 | 0.5557 | 14.1976 |
| 0.1459 | 4.9024 | 3800 | 0.5370 | 14.0038 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.3.1.post100
- Datasets 2.19.1
- Tokenizers 0.20.1