metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: mms-meta/mms-zeroshot-300m
tags:
- automatic-speech-recognition
- natbed
- mms
- generated_from_trainer
metrics:
- wer
model-index:
- name: mms-zeroshot-300m-natbed-combined-model
results: []
mms-zeroshot-300m-natbed-combined-model
This model is a fine-tuned version of mms-meta/mms-zeroshot-300m on the NATBED - BEM dataset. It achieves the following results on the evaluation set:
- Loss: 0.5928
- Wer: 0.5278
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 30.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 0.2503 | 200 | 2.6612 | 1.0 |
| No log | 0.5006 | 400 | 0.7787 | 0.6601 |
| 3.3034 | 0.7509 | 600 | 0.7196 | 0.6194 |
| 3.3034 | 1.0013 | 800 | 0.6961 | 0.5966 |
| 0.8261 | 1.2516 | 1000 | 0.6695 | 0.5762 |
| 0.8261 | 1.5019 | 1200 | 0.6314 | 0.5728 |
| 0.8261 | 1.7522 | 1400 | 0.6478 | 0.5575 |
| 0.7513 | 2.0025 | 1600 | 0.6374 | 0.5554 |
| 0.7513 | 2.2528 | 1800 | 0.6033 | 0.5484 |
| 0.7173 | 2.5031 | 2000 | 0.6270 | 0.5419 |
| 0.7173 | 2.7534 | 2200 | 0.6057 | 0.5433 |
| 0.7173 | 3.0038 | 2400 | 0.5928 | 0.5278 |
| 0.7092 | 3.2541 | 2600 | 0.5980 | 0.5321 |
| 0.7092 | 3.5044 | 2800 | 0.5976 | 0.5261 |
| 0.696 | 3.7547 | 3000 | 0.6369 | 0.5248 |
Framework versions
- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0