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---
library_name: transformers
license: apache-2.0
base_model: jonatasgrosman/wav2vec2-large-xlsr-53-russian
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: my_awesome_asr_mind_model
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. -->
# my_awesome_asr_mind_model
This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-russian](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-russian) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 8.6914
- Wer: 0.9317
## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 16.4326 | 0.3436 | 100 | 26.2073 | 1.0 |
| 16.1132 | 0.6873 | 200 | 13.6308 | 1.0 |
| 3.3225 | 1.0309 | 300 | 10.8892 | 1.0 |
| 3.6426 | 1.3746 | 400 | 6.1344 | 0.9985 |
| 2.6996 | 1.7182 | 500 | 4.0074 | 0.9930 |
| 2.2841 | 2.0619 | 600 | 4.9802 | 0.9742 |
| 2.2091 | 2.4055 | 700 | 7.2261 | 0.9517 |
| 2.089 | 2.7491 | 800 | 8.6914 | 0.9317 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Tokenizers 0.19.1
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