metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2_xls_r_300m_Afrivoice_FLEURS_Shona_100hr_v1
results: []
wav2vec2_xls_r_300m_Afrivoice_FLEURS_Shona_100hr_v1
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2326
- Wer: 0.2659
- Cer: 0.0491
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: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 1.5924 | 0.9998 | 2224 | 0.2704 | 0.3730 | 0.0679 |
| 0.2193 | 2.0 | 4449 | 0.2025 | 0.2838 | 0.0484 |
| 0.1765 | 2.9998 | 6673 | 0.1895 | 0.2641 | 0.0444 |
| 0.1533 | 4.0 | 8898 | 0.1875 | 0.2694 | 0.0449 |
| 0.1355 | 4.9998 | 11122 | 0.1857 | 0.2502 | 0.0419 |
| 0.1188 | 6.0 | 13347 | 0.1924 | 0.2520 | 0.0423 |
| 0.1048 | 6.9998 | 15571 | 0.1923 | 0.2509 | 0.0423 |
| 0.0915 | 8.0 | 17796 | 0.2057 | 0.2545 | 0.0423 |
| 0.0793 | 8.9998 | 20020 | 0.2071 | 0.2575 | 0.0428 |
| 0.069 | 10.0 | 22245 | 0.2214 | 0.2571 | 0.0424 |
| 0.0591 | 10.9998 | 24469 | 0.2346 | 0.2624 | 0.0422 |
| 0.051 | 12.0 | 26694 | 0.2474 | 0.2614 | 0.0432 |
| 0.0446 | 12.9998 | 28918 | 0.2598 | 0.2675 | 0.0429 |
| 0.0396 | 14.0 | 31143 | 0.2689 | 0.2647 | 0.0429 |
| 0.0353 | 14.9998 | 33367 | 0.2745 | 0.2645 | 0.0422 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.1.0+cu118
- Datasets 3.0.1
- Tokenizers 0.20.1