---
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- generated_from_trainer
datasets:
- nena_speech_1_0_test
metrics:
- wer
model-index:
- name: wav2vec2-large-mms-1b-urmi-christian-nointonations
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: nena_speech_1_0_test
      type: nena_speech_1_0_test
      config: urmi (christian)
      split: test
      args: urmi (christian)
    metrics:
    - name: Wer
      type: wer
      value: 1.0
---

<!-- 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. -->

# wav2vec2-large-mms-1b-urmi-christian-nointonations

This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the nena_speech_1_0_test dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4023
- Wer: 1.0
- Cer: 0.3080

## 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: 32
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 11.9124       | 0.14  | 25   | 8.0029          | 1.0    | 0.9396 |
| 4.0619        | 0.29  | 50   | 3.1702          | 1.0    | 0.9850 |
| 2.5226        | 0.43  | 75   | 1.2813          | 1.0    | 0.3749 |
| 1.7097        | 0.57  | 100  | 1.0049          | 1.0    | 0.3041 |
| 1.4508        | 0.72  | 125  | 0.8869          | 1.0    | 0.2564 |
| 1.1873        | 0.86  | 150  | 0.8490          | 0.9984 | 0.2503 |
| 1.4657        | 1.01  | 175  | 0.8487          | 1.0    | 0.2513 |
| 1.0877        | 1.15  | 200  | 0.7699          | 0.9984 | 0.2352 |
| 1.3957        | 1.29  | 225  | 0.7402          | 0.9984 | 0.2271 |
| 1.1216        | 1.44  | 250  | 0.7486          | 0.9984 | 0.2228 |
| 1.2285        | 1.58  | 275  | 0.7122          | 0.9984 | 0.2191 |
| 1.24          | 1.72  | 300  | 0.6914          | 0.9984 | 0.2208 |
| 0.9623        | 1.87  | 325  | 0.6688          | 0.9984 | 0.2132 |
| 1.2324        | 2.01  | 350  | 0.6708          | 0.9984 | 0.2117 |
| 0.9558        | 2.16  | 375  | 0.6614          | 0.9984 | 0.2071 |
| 1.2007        | 2.3   | 400  | 0.7159          | 0.9984 | 0.2183 |
| 1.0645        | 2.44  | 425  | 0.7265          | 0.9984 | 0.2104 |
| 1.1051        | 2.59  | 450  | 0.8289          | 1.0    | 0.2172 |
| 1.6129        | 2.73  | 475  | 1.5108          | 1.0    | 0.3514 |
| 2.0501        | 2.87  | 500  | 1.6020          | 1.0    | 0.4407 |
| 2.0458        | 3.02  | 525  | 1.4441          | 1.0    | 0.4181 |
| 1.621         | 3.16  | 550  | 1.2917          | 1.0    | 0.3545 |
| 1.7942        | 3.3   | 575  | 1.4151          | 0.9984 | 0.2664 |
| 1.6505        | 3.45  | 600  | 1.2550          | 1.0    | 0.3075 |
| 1.7165        | 3.59  | 625  | 1.3912          | 1.0    | 0.3056 |
| 1.8114        | 3.74  | 650  | 1.2554          | 1.0    | 0.3100 |
| 1.6019        | 3.88  | 675  | 1.5515          | 1.0    | 0.2889 |
| 2.0484        | 4.02  | 700  | 1.3666          | 1.0    | 0.2826 |
| 1.7132        | 4.17  | 725  | 1.3629          | 1.0    | 0.3414 |
| 1.8599        | 4.31  | 750  | 1.3831          | 1.0    | 0.3355 |
| 1.8653        | 4.45  | 775  | 1.4025          | 1.0    | 0.3344 |
| 1.8246        | 4.6   | 800  | 1.4007          | 1.0    | 0.3110 |
| 1.9346        | 4.74  | 825  | 1.4022          | 1.0    | 0.3082 |
| 1.732         | 4.89  | 850  | 1.4023          | 1.0    | 0.3080 |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1