---
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: kbd-1s-data
  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. -->

# kbd-1s-data

This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1139
- Wer: 0.2315

## 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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 2.6853        | 0.25  | 400  | 0.2931          | 0.4680 |
| 0.7427        | 0.5   | 800  | 0.2290          | 0.3743 |
| 0.6983        | 0.75  | 1200 | 0.1836          | 0.3390 |
| 0.6328        | 1.0   | 1600 | 0.1743          | 0.3172 |
| 0.61          | 1.25  | 2000 | 0.1607          | 0.2915 |
| 0.5941        | 1.5   | 2400 | 0.1536          | 0.2996 |
| 0.545         | 1.75  | 2800 | 0.1470          | 0.2787 |
| 0.5534        | 2.0   | 3200 | 0.1513          | 0.2754 |
| 0.5245        | 2.25  | 3600 | 0.1409          | 0.2661 |
| 0.5206        | 2.5   | 4000 | 0.1386          | 0.2676 |
| 0.505         | 2.75  | 4400 | 0.1313          | 0.2545 |
| 0.4647        | 3.0   | 4800 | 0.1249          | 0.2398 |
| 0.4754        | 3.25  | 5200 | 0.1225          | 0.2395 |
| 0.4508        | 3.5   | 5600 | 0.1194          | 0.2369 |
| 0.4629        | 3.75  | 6000 | 0.1152          | 0.2282 |
| 0.4443        | 4.0   | 6400 | 0.1139          | 0.2315 |


### Framework versions

- Transformers 4.50.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0