metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/mms-1b-fl102
tags:
- generated_from_trainer
datasets:
- common_voice_17_0
metrics:
- wer
model-index:
- name: mal-mms-epoch4
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: common_voice_17_0
type: common_voice_17_0
config: ml
split: validation
args: ml
metrics:
- name: Wer
type: wer
value: 1.1976492421899165
mal-mms-epoch4
This model is a fine-tuned version of facebook/mms-1b-fl102 on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
- Loss: 6.7720
- Wer: 1.1976
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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 8
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.9826 | 0.4 | 16 | 8.2570 | 1.0439 |
| 4.2851 | 0.8 | 32 | 8.1419 | 1.0687 |
| 8.2118 | 1.2 | 48 | 7.8111 | 1.0730 |
| 4.362 | 1.6 | 64 | 7.3669 | 1.1766 |
| 7.9241 | 2.0 | 80 | 7.0512 | 1.2072 |
| 4.5478 | 2.4 | 96 | 6.9138 | 1.2007 |
| 3.9726 | 2.8 | 112 | 6.8219 | 1.2193 |
| 6.0029 | 3.2 | 128 | 6.8214 | 1.2069 |
| 4.328 | 3.6 | 144 | 6.8251 | 1.2014 |
| 6.5417 | 4.0 | 160 | 6.7720 | 1.1976 |
Framework versions
- Transformers 4.46.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1