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---
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
|