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--- |
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license: apache-2.0 |
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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-ie |
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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-ie |
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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: 0.9461 |
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- Accuracy: 0.6857 |
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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: 3e-05 |
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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: 4 |
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- total_train_batch_size: 32 |
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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: 15 |
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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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| 1.1913 | 1.0 | 102 | 1.1911 | 0.4374 | |
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| 1.0238 | 2.0 | 204 | 1.0045 | 0.5529 | |
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| 0.809 | 3.0 | 306 | 0.9396 | 0.6188 | |
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| 0.7097 | 4.0 | 408 | 1.2146 | 0.5558 | |
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| 0.6082 | 5.0 | 510 | 1.2860 | 0.5752 | |
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| 0.4099 | 6.0 | 612 | 1.3618 | 0.5771 | |
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| 0.3927 | 7.0 | 714 | 1.1155 | 0.6508 | |
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| 0.2013 | 8.0 | 816 | 1.3554 | 0.6266 | |
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| 0.2208 | 9.0 | 918 | 1.7306 | 0.5674 | |
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| 0.1967 | 10.0 | 1020 | 1.6680 | 0.6004 | |
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| 0.1563 | 11.0 | 1122 | 1.6125 | 0.6402 | |
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| 0.0777 | 12.0 | 1224 | 1.7766 | 0.6305 | |
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| 0.0486 | 13.0 | 1326 | 1.8744 | 0.6324 | |
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| 0.0594 | 14.0 | 1428 | 1.9529 | 0.6246 | |
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| 0.0363 | 15.0 | 1530 | 1.8843 | 0.6334 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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