metadata
library_name: transformers
base_model: Serialtechlab/mms-1b-dhivehi-v6
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: mms-1b-dhivehi-v7
results: []
mms-1b-dhivehi-v7
This model is a fine-tuned version of Serialtechlab/mms-1b-dhivehi-v6 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2389
- Wer: 0.4238
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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 200
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3644 | 1.2020 | 500 | 0.2535 | 0.4329 |
| 0.3681 | 2.4041 | 1000 | 0.2431 | 0.4319 |
| 0.3299 | 3.6061 | 1500 | 0.2389 | 0.4238 |
| 0.3428 | 4.8082 | 2000 | 0.2391 | 0.4245 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1