metadata
library_name: transformers
license: mit
base_model: facebook/w2v-bert-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: W2V2_Bert_Afrivoice_FLEURS_Shona_100hr_v1
results: []
W2V2_Bert_Afrivoice_FLEURS_Shona_100hr_v1
This model is a fine-tuned version of facebook/w2v-bert-2.0 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2169
- Model Preparation Time: 0.0117
- Wer: 0.2047
- Cer: 0.0377
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.025
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Wer | Cer |
|---|---|---|---|---|---|---|
| 0.0958 | 1.0 | 4449 | 0.1764 | 0.0117 | 0.2148 | 0.0352 |
| 0.093 | 2.0 | 8898 | 0.1879 | 0.0117 | 0.2282 | 0.0382 |
| 0.0993 | 3.0 | 13347 | 0.1860 | 0.0117 | 0.2285 | 0.0384 |
| 0.0971 | 4.0 | 17796 | 0.1906 | 0.0117 | 0.2379 | 0.0390 |
| 0.0912 | 5.0 | 22245 | 0.1843 | 0.0117 | 0.2268 | 0.0381 |
| 0.084 | 6.0 | 26694 | 0.1970 | 0.0117 | 0.2247 | 0.0376 |
| 0.0786 | 7.0 | 31143 | 0.2031 | 0.0117 | 0.2433 | 0.0419 |
| 0.0716 | 8.0 | 35592 | 0.2114 | 0.0117 | 0.2360 | 0.0394 |
| 0.0673 | 9.0 | 40041 | 0.2146 | 0.0117 | 0.2358 | 0.0388 |
| 0.0617 | 10.0 | 44490 | 0.2282 | 0.0117 | 0.2311 | 0.0384 |
| 0.0559 | 11.0 | 48939 | 0.2302 | 0.0117 | 0.2306 | 0.0386 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.1.0+cu118
- Datasets 3.0.1
- Tokenizers 0.20.1