End of training
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README.md
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---
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license: apache-2.0
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base_model: facebook/wav2vec2-base
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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: results
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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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# results
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0159
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- Wer: 0.4194
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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: 0.0001
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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: 1000
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- num_epochs: 30
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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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| 4.456 | 2.8571 | 500 | 2.8521 | 1.0 |
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| 1.7436 | 5.7143 | 1000 | 0.0950 | 0.5740 |
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| 0.0812 | 8.5714 | 1500 | 0.0351 | 0.4816 |
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| 0.0377 | 11.4286 | 2000 | 0.0277 | 0.4739 |
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| 0.024 | 14.2857 | 2500 | 0.0198 | 0.4397 |
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| 0.0181 | 17.1429 | 3000 | 0.0169 | 0.4276 |
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| 0.0135 | 20.0 | 3500 | 0.0189 | 0.4276 |
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| 0.0102 | 22.8571 | 4000 | 0.0176 | 0.4238 |
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| 0.0086 | 25.7143 | 4500 | 0.0153 | 0.4221 |
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| 0.0074 | 28.5714 | 5000 | 0.0159 | 0.4194 |
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### Framework versions
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- Transformers 4.41.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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model.safetensors
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runs/May24_18-01-48_instance-til-team-1/events.out.tfevents.1716573840.instance-til-team-1
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