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: wav2vec2_tun_1.0
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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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# wav2vec2_tun_1.0
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3582
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- Wer: 0.2211
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- Cer: 0.0770
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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: 16
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- eval_batch_size: 8
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- seed: 42
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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: 30
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
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| 5.9699 | 3.7234 | 700 | 2.8579 | 1.0 | 0.9915 |
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| 1.5582 | 7.4468 | 1400 | 0.4742 | 0.3345 | 0.1187 |
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| 0.5216 | 11.1702 | 2100 | 0.3712 | 0.2768 | 0.0975 |
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| 0.3359 | 14.8936 | 2800 | 0.3522 | 0.2484 | 0.0867 |
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| 0.2514 | 18.6170 | 3500 | 0.3611 | 0.2403 | 0.0833 |
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| 0.217 | 22.3404 | 4200 | 0.3557 | 0.2266 | 0.0787 |
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| 0.1873 | 26.0638 | 4900 | 0.3569 | 0.2245 | 0.0786 |
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| 0.183 | 29.7872 | 5600 | 0.3582 | 0.2211 | 0.0770 |
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### Framework versions
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- Transformers 4.41.1
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- Pytorch 2.1.2
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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runs/Jun02_13-58-53_a871e2c2d7f9/events.out.tfevents.1717336965.a871e2c2d7f9.34.1
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version https://git-lfs.github.com/spec/v1
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size
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size 11518
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