End of training
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README.md
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tags:
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- generated_from_trainer
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datasets:
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-
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metrics:
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- accuracy
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model-index:
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name: Audio Classification
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type: audio-classification
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dataset:
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name:
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type:
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config: default
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split: train
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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# audio_consistency
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This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 |
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| 1.
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### Framework versions
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- Transformers 4.
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- Pytorch 2.3.
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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tags:
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- generated_from_trainer
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datasets:
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- audiofolder
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metrics:
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- accuracy
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model-index:
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name: Audio Classification
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type: audio-classification
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dataset:
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name: audiofolder
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type: audiofolder
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config: default
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split: train
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.365699032365699
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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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# audio_consistency
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This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the audiofolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0866
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- Accuracy: 0.3657
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 375 | 1.0863 | 0.3747 |
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| 1.0859 | 2.0 | 750 | 1.0869 | 0.3747 |
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| 1.0838 | 3.0 | 1125 | 1.0866 | 0.3657 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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model.safetensors
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runs/Jul21_09-30-08_9d4a70b3229b/events.out.tfevents.1721554209.9d4a70b3229b.168.1
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