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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: humor_model_v2 |
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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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# humor_model_v2 |
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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: 0.2683 |
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- Accuracy: 0.9639 |
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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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| No log | 0.9524 | 5 | 0.6652 | 0.9157 | |
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| 0.6722 | 1.9048 | 10 | 0.5931 | 0.9217 | |
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| 0.6722 | 2.8571 | 15 | 0.5272 | 0.9337 | |
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| 0.5461 | 4.0 | 21 | 0.4712 | 0.8554 | |
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| 0.5461 | 4.9524 | 26 | 0.3943 | 0.8916 | |
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| 0.3891 | 5.9048 | 31 | 0.3369 | 0.9337 | |
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| 0.3891 | 6.8571 | 36 | 0.3099 | 0.9398 | |
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| 0.2976 | 8.0 | 42 | 0.2811 | 0.9578 | |
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| 0.2976 | 8.9524 | 47 | 0.2713 | 0.9578 | |
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| 0.2393 | 9.5238 | 50 | 0.2683 | 0.9639 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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