Muhammad Firdho
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End of training
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README.md
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---
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license: apache-2.0
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base_model: jonatasgrosman/wav2vec2-large-xlsr-53-english
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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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- precision
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- recall
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- f1
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model-index:
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- name: speech-emotion-recognition
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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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# speech-emotion-recognition
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This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5578
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- Accuracy: 0.8225
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- Precision: 0.8278
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- Recall: 0.8225
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- F1: 0.8212
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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: 5e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 5
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- total_train_batch_size: 10
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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: 3
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 1.3499 | 1.0 | 394 | 1.2619 | 0.7120 | 0.7251 | 0.7120 | 0.7116 |
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| 0.6955 | 2.0 | 788 | 0.7781 | 0.7799 | 0.7919 | 0.7799 | 0.7793 |
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| 0.8665 | 3.0 | 1182 | 0.5578 | 0.8225 | 0.8278 | 0.8225 | 0.8212 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.17.0
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- Tokenizers 0.15.1
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runs/Feb13_05-53-49_d7bbc11c7f0e/events.out.tfevents.1707806158.d7bbc11c7f0e.782.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:82fc7200c3bbcedecb2f5e2a9d87a6fba94e1172564dfed3cca427919dfccfdd
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size 560
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