|
--- |
|
license: apache-2.0 |
|
base_model: DewiBrynJones/wav2vec2-xlsr-53-ft-btb-ccv-cy |
|
tags: |
|
- automatic-speech-recognition |
|
- DewiBrynJones/banc-trawsgrifiadau-bangor-clean |
|
- generated_from_trainer |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: wav2vec2-btb-ccv-ft-btb-cy |
|
results: [] |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# wav2vec2-btb-ccv-ft-btb-cy |
|
|
|
This model is a fine-tuned version of [DewiBrynJones/wav2vec2-xlsr-53-ft-btb-ccv-cy](https://huggingface.co/DewiBrynJones/wav2vec2-xlsr-53-ft-btb-ccv-cy) on the DEWIBRYNJONES/BANC-TRAWSGRIFIADAU-BANGOR-CLEAN - DEFAULT dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4314 |
|
- Wer: 0.3285 |
|
|
|
## 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: 0.0003 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 64 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 300 |
|
- training_steps: 3000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:------:|:----:|:---------------:|:------:| |
|
| No log | 0.1139 | 200 | 0.7148 | 0.4603 | |
|
| No log | 0.2278 | 400 | 0.6810 | 0.4795 | |
|
| 1.4735 | 0.3417 | 600 | 0.6035 | 0.4486 | |
|
| 1.4735 | 0.4556 | 800 | 0.6223 | 0.5105 | |
|
| 0.7681 | 0.5695 | 1000 | 0.5656 | 0.4336 | |
|
| 0.7681 | 0.6834 | 1200 | 0.5275 | 0.4008 | |
|
| 0.7681 | 0.7973 | 1400 | 0.5284 | 0.4028 | |
|
| 0.7159 | 0.9112 | 1600 | 0.4990 | 0.3914 | |
|
| 0.7159 | 1.0251 | 1800 | 0.4855 | 0.3730 | |
|
| 0.6203 | 1.1390 | 2000 | 0.4740 | 0.3623 | |
|
| 0.6203 | 1.2528 | 2200 | 0.4589 | 0.3536 | |
|
| 0.6203 | 1.3667 | 2400 | 0.4539 | 0.3407 | |
|
| 0.5447 | 1.4806 | 2600 | 0.4410 | 0.3357 | |
|
| 0.5447 | 1.5945 | 2800 | 0.4347 | 0.3293 | |
|
| 0.5392 | 1.7084 | 3000 | 0.4314 | 0.3285 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.0 |
|
- Pytorch 2.4.0+cu121 |
|
- Datasets 2.21.0 |
|
- Tokenizers 0.19.1 |
|
|
