File size: 1,677 Bytes
4206242 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 |
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wolof
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. -->
# wolof
This model is a fine-tuned version of [LeBenchmark/wav2vec2-FR-2.6K-base](https://huggingface.co/LeBenchmark/wav2vec2-FR-2.6K-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2816
- Wer: 0.3897
## 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: 20
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 2.9468 | 1.67 | 1500 | 0.7036 | 0.6418 |
| 0.5506 | 3.33 | 3000 | 0.4129 | 0.5018 |
| 0.3817 | 5.0 | 4500 | 0.3414 | 0.4519 |
| 0.2885 | 6.67 | 6000 | 0.3181 | 0.4305 |
| 0.2275 | 8.33 | 7500 | 0.2920 | 0.4011 |
| 0.1852 | 10.0 | 9000 | 0.2816 | 0.3897 |
### Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu102
- Datasets 2.1.0
- Tokenizers 0.12.1
|