End of training
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README.md
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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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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.
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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 | 0.8 | 3 | 2.
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| No log | 1.8667 | 7 | 2.
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### Framework versions
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- Transformers 4.
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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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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.05309734513274336
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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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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6789
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- Accuracy: 0.0531
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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 | 0.8 | 3 | 2.6391 | 0.0531 |
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| No log | 1.8667 | 7 | 2.6607 | 0.0442 |
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| 2.6357 | 2.9333 | 11 | 2.6661 | 0.0354 |
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| 2.6357 | 4.0 | 15 | 2.6717 | 0.0531 |
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| 2.6357 | 4.8 | 18 | 2.6789 | 0.0531 |
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| 2.6309 | 5.8667 | 22 | 2.6795 | 0.0531 |
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| 2.6309 | 6.9333 | 26 | 2.6803 | 0.0531 |
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| 2.6186 | 8.0 | 30 | 2.6789 | 0.0531 |
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### Framework versions
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- Transformers 4.40.2
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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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runs/May29_18-26-37_user-Z790-AORUS-ELITE-AX-ICE/events.out.tfevents.1716974797.user-Z790-AORUS-ELITE-AX-ICE.1384053.0
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