---
library_name: transformers
license: cc-by-nc-4.0
base_model: mms-meta/mms-zeroshot-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: mms-300m-ngen
  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-300m-ngen

This model is a fine-tuned version of [mms-meta/mms-zeroshot-300m](https://huggingface.co/mms-meta/mms-zeroshot-300m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Wer: 1.0

## 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: 0.0005
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- 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
- num_epochs: 5

### Training results

| Training Loss     | Epoch  | Step | Validation Loss | Wer |
|:-----------------:|:------:|:----:|:---------------:|:---:|
| No log            | 1.0    | 83   | nan             | 1.0 |
| 25801981134110.72 | 2.0    | 166  | nan             | 1.0 |
| 0.0               | 3.0    | 249  | nan             | 1.0 |
| 0.0               | 4.0    | 332  | nan             | 1.0 |
| 0.0               | 4.9483 | 410  | nan             | 1.0 |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.21.0