metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- generated_from_trainer
model-index:
- name: bambara_mms_20_hour_jeli_asr_dataset
results: []
bambara_mms_20_hour_jeli_asr_dataset
This model is a fine-tuned version of facebook/mms-1b-all on an unknown dataset.
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
Framework versions
- Transformers 4.45.1
- Pytorch 2.1.0+cu118
- Datasets 2.17.0
- Tokenizers 0.20.3