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End of training

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  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-finetuned-on-shEMO_speech
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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-finetuned-on-shEMO_speech
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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: 0.6265
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+ - Accuracy: 0.8367
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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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+ | 1.3533 | 1.0 | 75 | 1.2104 | 0.6167 |
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+ | 1.0603 | 2.0 | 150 | 0.8963 | 0.7167 |
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+ | 0.7558 | 3.0 | 225 | 0.6868 | 0.8233 |
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+ | 0.5619 | 4.0 | 300 | 0.6482 | 0.8333 |
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+ | 0.5089 | 5.0 | 375 | 0.5713 | 0.8467 |
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+ | 0.333 | 6.0 | 450 | 0.6046 | 0.83 |
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+ | 0.2968 | 7.0 | 525 | 0.5426 | 0.8633 |
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+ | 0.2957 | 8.0 | 600 | 0.5003 | 0.87 |
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+ | 0.1713 | 9.0 | 675 | 0.5812 | 0.87 |
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+ | 0.1744 | 10.0 | 750 | 0.6211 | 0.8533 |
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+ | 0.0821 | 11.0 | 825 | 0.6015 | 0.87 |
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+ | 0.0961 | 12.0 | 900 | 0.5906 | 0.87 |
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+ | 0.0969 | 13.0 | 975 | 0.6339 | 0.8633 |
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+ | 0.1125 | 14.0 | 1050 | 0.6203 | 0.86 |
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+ | 0.0496 | 15.0 | 1125 | 0.6204 | 0.8667 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.1
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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