---
base_model: facebook/wav2vec2-large-xlsr-53
library_name: transformers
license: apache-2.0
metrics:
- wer
tags:
- generated_from_trainer
model-index:
- name: xlsr-bigmodel-kan
  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. -->

# xlsr-bigmodel-kan

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None 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: 1e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 132
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 2.521         | 14.2857 | 200  | inf             | 0.9741 |
| 2.505         | 28.5714 | 400  | inf             | 0.9741 |
| 2.5013        | 42.8571 | 600  | inf             | 0.9741 |
| 2.4846        | 57.1429 | 800  | inf             | 0.9741 |
| 5.2584        | 71.4286 | 1000 | nan             | 1.0    |
| 0.0           | 85.7143 | 1200 | nan             | 1.0    |
| 0.0           | 100.0   | 1400 | nan             | 1.0    |


### Framework versions

- Transformers 4.45.0.dev0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1