---
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/mms-1b-l1107
tags:
- generated_from_trainer
model-index:
- name: mms-1bl1107-tenakichwa-120
  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-1bl1107-tenakichwa-120

This model is a fine-tuned version of [facebook/mms-1b-l1107](https://huggingface.co/facebook/mms-1b-l1107) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2002
- Cer: 0.0571

## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.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: 500
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Cer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 2.3699        | 6.6723  | 400  | 0.5899          | 0.1454 |
| 0.7405        | 13.3361 | 800  | 0.4014          | 0.1038 |
| 0.5809        | 20.0    | 1200 | 0.2816          | 0.0806 |
| 0.4731        | 26.6723 | 1600 | 0.2002          | 0.0571 |


### Framework versions

- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.3.0
- Tokenizers 0.21.0