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---
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- automatic-speech-recognition
- bigcgen
- mms
- generated_from_trainer
metrics:
- wer
model-index:
- name: mms-1b-bigcgen-female-15hrs-model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mms-1b-bigcgen-female-15hrs-model
This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the BIGCGEN - BEM dataset.
It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.5205
## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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: 100
- training_steps: 2500
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 14.809 | 0.1003 | 100 | inf | 1.0120 |
| 6.0699 | 0.2005 | 200 | inf | 0.9993 |
| 5.3221 | 0.3008 | 300 | inf | 1.0347 |
| 4.0785 | 0.4010 | 400 | inf | 0.7821 |
| 2.0743 | 0.5013 | 500 | inf | 0.6082 |
| 1.7578 | 0.6015 | 600 | inf | 0.5732 |
| 1.8081 | 0.7018 | 700 | inf | 0.5659 |
| 1.7107 | 0.8020 | 800 | inf | 0.5478 |
| 1.7206 | 0.9023 | 900 | inf | 0.5489 |
| 1.6957 | 1.0020 | 1000 | inf | 0.5446 |
| 1.587 | 1.1023 | 1100 | inf | 0.5380 |
| 1.5794 | 1.2025 | 1200 | inf | 0.5355 |
| 1.4728 | 1.3028 | 1300 | inf | 0.5251 |
| 1.5137 | 1.4030 | 1400 | inf | 0.5380 |
| 1.5073 | 1.5033 | 1500 | inf | 0.5294 |
| 1.3676 | 1.6035 | 1600 | inf | 0.5271 |
| 1.5592 | 1.7038 | 1700 | inf | 0.5240 |
| 1.5091 | 1.8040 | 1800 | inf | 0.5682 |
| 1.5439 | 1.9043 | 1900 | inf | 0.5208 |
| 1.4025 | 2.0040 | 2000 | inf | 0.5276 |
| 1.465 | 2.1043 | 2100 | inf | 0.5269 |
| 1.4096 | 2.2045 | 2200 | inf | 0.5346 |
| 1.428 | 2.3048 | 2300 | inf | 0.5212 |
| 1.3829 | 2.4050 | 2400 | inf | 0.5217 |
| 1.3048 | 2.5053 | 2500 | inf | 0.5205 |
### Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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