Commit
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End of training
Browse files- README.md +70 -0
- model.safetensors +1 -1
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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- accuracy
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model-index:
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- name: wav2vec2-base-finetuned-zindi_techcabal
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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-base-finetuned-zindi_techcabal
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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: 0.0232
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- Accuracy: 0.9963
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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: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 64
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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_ratio: 0.1
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- num_epochs: 10
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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 | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 1.2428 | 1.3333 | 100 | 1.1358 | 0.7566 |
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| 0.4838 | 2.6667 | 200 | 0.3009 | 0.9738 |
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| 0.1708 | 4.0 | 300 | 0.1599 | 0.9700 |
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| 0.1251 | 5.3333 | 400 | 0.0682 | 0.9906 |
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| 0.0841 | 6.6667 | 500 | 0.0450 | 0.9888 |
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| 0.0692 | 8.0 | 600 | 0.0534 | 0.9888 |
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| 0.045 | 9.3333 | 700 | 0.0232 | 0.9963 |
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### Framework versions
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- Transformers 4.44.0
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- Pytorch 2.4.0
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 378308536
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version https://git-lfs.github.com/spec/v1
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size 378308536
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