metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: bambara-mms-1-hour-jeli-asr-hf
results: []
bambara-mms-1-hour-jeli-asr-hf
This model is a fine-tuned version of facebook/mms-1b-all on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3954
- Wer: 0.7301
- Cer: 0.3627
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 1.6441 | 8.0 | 500 | 1.6965 | 0.7606 | 0.3865 |
| 0.9143 | 16.0 | 1000 | 2.0093 | 0.7460 | 0.3704 |
| 0.5249 | 24.0 | 1500 | 2.2733 | 0.7912 | 0.3808 |
| 0.3111 | 32.0 | 2000 | 2.7380 | 0.7231 | 0.3678 |
| 0.1826 | 40.0 | 2500 | 3.0810 | 0.7323 | 0.3626 |
| 0.1135 | 48.0 | 3000 | 3.3954 | 0.7301 | 0.3627 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.1.0+cu118
- Datasets 2.17.0
- Tokenizers 0.20.3