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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: my_awesome_emotion_model |
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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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# my_awesome_emotion_model |
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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: 1.6526 |
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- Accuracy: 0.4938 |
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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: 10 |
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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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| 2.4362 | 0.98 | 47 | 2.3331 | 0.3124 | |
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| 2.1636 | 1.99 | 95 | 2.0618 | 0.3707 | |
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| 1.9869 | 2.99 | 143 | 1.9420 | 0.3870 | |
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| 1.8686 | 4.0 | 191 | 1.8900 | 0.3955 | |
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| 1.7885 | 4.98 | 238 | 1.7958 | 0.4414 | |
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| 1.6869 | 5.99 | 286 | 1.7295 | 0.4650 | |
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| 1.6069 | 6.99 | 334 | 1.7144 | 0.4748 | |
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| 1.5487 | 8.0 | 382 | 1.6685 | 0.4905 | |
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| 1.5576 | 8.98 | 429 | 1.6590 | 0.4964 | |
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| 1.4776 | 9.84 | 470 | 1.6526 | 0.4938 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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