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End of training

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  1. README.md +77 -0
  2. pytorch_model.bin +1 -1
README.md ADDED
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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-ie
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+ results: []
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+ ---
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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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+
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+ # wav2vec2-base-finetuned-ie
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+
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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: 1.0843
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+ - Accuracy: 0.6511
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.1746 | 1.0 | 102 | 1.1532 | 0.4811 |
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+ | 0.9955 | 2.0 | 204 | 1.0070 | 0.5761 |
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+ | 0.8048 | 3.0 | 306 | 0.9764 | 0.6052 |
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+ | 0.5933 | 4.0 | 408 | 1.1020 | 0.5975 |
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+ | 0.4987 | 5.0 | 510 | 1.1877 | 0.5984 |
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+ | 0.401 | 6.0 | 612 | 1.1034 | 0.6334 |
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+ | 0.3613 | 7.0 | 714 | 1.0424 | 0.6780 |
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+ | 0.2304 | 8.0 | 816 | 1.1990 | 0.6673 |
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+ | 0.2553 | 9.0 | 918 | 1.2547 | 0.6605 |
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+ | 0.1737 | 10.0 | 1020 | 1.5981 | 0.6149 |
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+ | 0.1438 | 11.0 | 1122 | 1.4178 | 0.6770 |
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+ | 0.0917 | 12.0 | 1224 | 1.6137 | 0.6576 |
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+ | 0.0446 | 13.0 | 1326 | 1.7111 | 0.6557 |
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+ | 0.0397 | 14.0 | 1428 | 1.7771 | 0.6392 |
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+ | 0.0169 | 15.0 | 1530 | 1.7484 | 0.6508 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.14.0
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