End of training
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: jonatasgrosman/wav2vec2-large-xlsr-53-russian
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: my_awesome_asr_mind_model
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# my_awesome_asr_mind_model
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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.
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It achieves the following results on the evaluation set:
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- Loss: 8.6914
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- Wer: 0.9317
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:------:|:----:|:---------------:|:------:|
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| 16.4326 | 0.3436 | 100 | 26.2073 | 1.0 |
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| 16.1132 | 0.6873 | 200 | 13.6308 | 1.0 |
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| 3.3225 | 1.0309 | 300 | 10.8892 | 1.0 |
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| 3.6426 | 1.3746 | 400 | 6.1344 | 0.9985 |
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| 2.6996 | 1.7182 | 500 | 4.0074 | 0.9930 |
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| 2.2841 | 2.0619 | 600 | 4.9802 | 0.9742 |
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| 2.2091 | 2.4055 | 700 | 7.2261 | 0.9517 |
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| 2.089 | 2.7491 | 800 | 8.6914 | 0.9317 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Tokenizers 0.19.1
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model.safetensors
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