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--- |
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license: apache-2.0 |
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base_model: ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition |
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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: xls-r-amharic |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/hallo23/huggingface/runs/5pgjd6az) |
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# xls-r-amharic |
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This model is a fine-tuned version of [ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition](https://huggingface.co/ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0901 |
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- Accuracy: 0.9818 |
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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: 1e-05 |
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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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- num_epochs: 15 |
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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 | |
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|:-------------:|:-------:|:----:|:---------------:|:--------:| |
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| 0.2847 | 2.0202 | 500 | 0.2479 | 0.9212 | |
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| 0.1138 | 4.0404 | 1000 | 0.2063 | 0.9434 | |
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| 0.0614 | 6.0606 | 1500 | 0.1415 | 0.9657 | |
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| 0.0349 | 8.0808 | 2000 | 0.1383 | 0.9737 | |
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| 0.0143 | 10.1010 | 2500 | 0.0901 | 0.9818 | |
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| 0.0178 | 12.1212 | 3000 | 0.1188 | 0.9778 | |
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| 0.0222 | 14.1414 | 3500 | 0.1237 | 0.9778 | |
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### Framework versions |
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- Transformers 4.41.0.dev0 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.1.dev0 |
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- Tokenizers 0.19.1 |
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