---
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-mms-1b-kazakh-speech2ner-ksc_t-16b-4ep
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec2-large-mms-1b-kazakh-speech2ner-ksc_t-16b-4ep

This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2397
- Wer: 0.3099

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.3934        | 0.22  | 2000  | 0.3610          | 0.3687 |
| 0.3361        | 0.43  | 4000  | 0.2983          | 0.3412 |
| 0.3211        | 0.65  | 6000  | 0.2779          | 0.3300 |
| 0.3146        | 0.87  | 8000  | 0.2685          | 0.3238 |
| 0.3104        | 1.09  | 10000 | 0.2613          | 0.3210 |
| 0.2965        | 1.3   | 12000 | 0.2571          | 0.3188 |
| 0.3004        | 1.52  | 14000 | 0.2531          | 0.3166 |
| 0.2889        | 1.74  | 16000 | 0.2504          | 0.3153 |
| 0.2955        | 1.96  | 18000 | 0.2476          | 0.3138 |
| 0.2869        | 2.17  | 20000 | 0.2465          | 0.3126 |
| 0.2855        | 2.39  | 22000 | 0.2443          | 0.3117 |
| 0.2927        | 2.61  | 24000 | 0.2431          | 0.3111 |
| 0.2789        | 2.83  | 26000 | 0.2421          | 0.3107 |
| 0.2854        | 3.04  | 28000 | 0.2412          | 0.3105 |
| 0.2918        | 3.26  | 30000 | 0.2404          | 0.3099 |
| 0.2768        | 3.48  | 32000 | 0.2401          | 0.3096 |
| 0.2771        | 3.69  | 34000 | 0.2398          | 0.3099 |
| 0.2733        | 3.91  | 36000 | 0.2397          | 0.3099 |


### Framework versions

- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3