metadata
language:
- el
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: ''
results: []
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - EL dataset. It achieves the following results on the evaluation set:
- Loss: 0.3218
- Wer: 0.3095
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: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- num_epochs: 80.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 6.3683 | 8.77 | 500 | 3.1280 | 1.0 |
| 1.9915 | 17.54 | 1000 | 0.6600 | 0.6444 |
| 0.6565 | 26.32 | 1500 | 0.4208 | 0.4486 |
| 0.4484 | 35.09 | 2000 | 0.3885 | 0.4006 |
| 0.3573 | 43.86 | 2500 | 0.3548 | 0.3626 |
| 0.3063 | 52.63 | 3000 | 0.3375 | 0.3430 |
| 0.2751 | 61.4 | 3500 | 0.3359 | 0.3241 |
| 0.2511 | 70.18 | 4000 | 0.3222 | 0.3108 |
| 0.2361 | 78.95 | 4500 | 0.3205 | 0.3084 |
Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.1+cu102
- Datasets 1.18.3
- Tokenizers 0.11.0