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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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model-index: |
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- name: wav2vec2-large-xlsr-53-english-finetuned-ravdess-v8 |
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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-english-finetuned-ravdess-v8 |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6533 |
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- Accuracy: 0.7222 |
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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: 0.0001 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.1363 | 0.15 | 25 | 1.0081 | 0.7778 | |
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| 0.1327 | 0.31 | 50 | 0.9010 | 0.8125 | |
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| 0.1415 | 0.46 | 75 | 1.4153 | 0.7153 | |
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| 0.185 | 0.62 | 100 | 1.7617 | 0.7083 | |
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| 0.2158 | 0.77 | 125 | 2.1611 | 0.6597 | |
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| 0.4308 | 0.93 | 150 | 2.0827 | 0.6597 | |
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| 0.3191 | 1.08 | 175 | 2.2436 | 0.6319 | |
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| 0.3377 | 1.23 | 200 | 1.7225 | 0.6944 | |
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| 0.232 | 1.39 | 225 | 1.5759 | 0.7292 | |
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| 0.2571 | 1.54 | 250 | 1.8838 | 0.7222 | |
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| 0.2376 | 1.7 | 275 | 1.5548 | 0.7222 | |
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| 0.1417 | 1.85 | 300 | 1.2785 | 0.75 | |
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| 0.0731 | 2.01 | 325 | 1.4898 | 0.7431 | |
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| 0.0852 | 2.16 | 350 | 1.3757 | 0.75 | |
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| 0.0517 | 2.31 | 375 | 1.4918 | 0.7361 | |
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| 0.1537 | 2.47 | 400 | 1.4951 | 0.7431 | |
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| 0.0309 | 2.62 | 425 | 1.5893 | 0.7292 | |
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| 0.0021 | 2.78 | 450 | 1.6348 | 0.7292 | |
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| 0.0394 | 2.93 | 475 | 1.6533 | 0.7222 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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