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--- |
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library_name: transformers |
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license: cc-by-sa-4.0 |
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base_model: airesearch/wav2vec2-large-xlsr-53-th |
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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-xlsr-53-th-speech-emotion-recognition-4c |
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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-large-xlsr-53-th-speech-emotion-recognition-4c |
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This model is a fine-tuned version of [airesearch/wav2vec2-large-xlsr-53-th](https://huggingface.co/airesearch/wav2vec2-large-xlsr-53-th) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4840 |
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- Accuracy: 0.8270 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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: 20 |
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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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| 1.3113 | 0.9963 | 67 | 1.3085 | 0.3879 | |
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| 0.9422 | 1.9926 | 134 | 0.9515 | 0.5786 | |
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| 0.8097 | 2.9888 | 201 | 0.7753 | 0.6958 | |
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| 0.7 | 4.0 | 269 | 0.6606 | 0.7591 | |
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| 0.6038 | 4.9963 | 336 | 0.5957 | 0.7833 | |
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| 0.5796 | 5.9926 | 403 | 0.6206 | 0.7805 | |
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| 0.5413 | 6.9888 | 470 | 0.5471 | 0.7991 | |
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| 0.4974 | 8.0 | 538 | 0.5784 | 0.8009 | |
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| 0.4623 | 8.9963 | 605 | 0.5212 | 0.8130 | |
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| 0.4503 | 9.9926 | 672 | 0.5237 | 0.8242 | |
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| 0.428 | 10.9888 | 739 | 0.4823 | 0.8233 | |
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| 0.3958 | 12.0 | 807 | 0.5192 | 0.8270 | |
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| 0.3953 | 12.9963 | 874 | 0.4854 | 0.8270 | |
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| 0.3696 | 13.9926 | 941 | 0.4877 | 0.8251 | |
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| 0.3715 | 14.9888 | 1008 | 0.4845 | 0.8279 | |
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| 0.386 | 16.0 | 1076 | 0.4829 | 0.8233 | |
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| 0.3505 | 16.9963 | 1143 | 0.4850 | 0.8214 | |
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| 0.3166 | 17.9926 | 1210 | 0.4973 | 0.8270 | |
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| 0.366 | 18.9888 | 1277 | 0.4829 | 0.8270 | |
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| 0.3386 | 19.9257 | 1340 | 0.4840 | 0.8270 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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