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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: facebook/wav2vec2-large-robust
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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-large-robust-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-large-robust-finetuned-ie
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+
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+ This model is a fine-tuned version of [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1133
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+ - Accuracy: 0.5536
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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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+ | 1.3699 | 1.0 | 102 | 1.3843 | 0.2502 |
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+ | 1.2027 | 2.0 | 204 | 1.1851 | 0.4200 |
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+ | 1.047 | 3.0 | 306 | 1.1356 | 0.4520 |
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+ | 1.0414 | 4.0 | 408 | 1.1702 | 0.4627 |
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+ | 0.9885 | 5.0 | 510 | 1.0295 | 0.5354 |
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+ | 0.9873 | 6.0 | 612 | 1.0988 | 0.5228 |
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+ | 0.9309 | 7.0 | 714 | 1.1347 | 0.5257 |
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+ | 0.8401 | 8.0 | 816 | 1.1502 | 0.5286 |
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+ | 0.8253 | 9.0 | 918 | 1.0792 | 0.5577 |
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+ | 0.8741 | 10.0 | 1020 | 1.2591 | 0.5267 |
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+ | 0.8177 | 11.0 | 1122 | 1.3007 | 0.5141 |
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+ | 0.7633 | 12.0 | 1224 | 1.1962 | 0.5509 |
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+ | 0.8185 | 13.0 | 1326 | 1.1022 | 0.5984 |
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+ | 0.7481 | 14.0 | 1428 | 1.1741 | 0.5694 |
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+ | 0.719 | 15.0 | 1530 | 1.1645 | 0.5781 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.2
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+ - Pytorch 2.2.0+cu121
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+ - Datasets 2.17.0
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+ - Tokenizers 0.15.2
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