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---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: humor_model_v1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# humor_model_v1
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1840
- Accuracy: 0.9231
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| No log | 0.9231 | 6 | 0.5754 | 0.9231 |
| 0.5907 | 2.0 | 13 | 0.3002 | 0.9231 |
| 0.5907 | 2.9231 | 19 | 0.2467 | 0.9231 |
| 0.3341 | 4.0 | 26 | 0.2232 | 0.9231 |
| 0.2424 | 4.9231 | 32 | 0.2288 | 0.8894 |
| 0.2424 | 6.0 | 39 | 0.2577 | 0.8510 |
| 0.1678 | 6.9231 | 45 | 0.2725 | 0.8558 |
| 0.1293 | 8.0 | 52 | 0.2767 | 0.8606 |
| 0.1293 | 8.9231 | 58 | 0.1823 | 0.9279 |
| 0.1149 | 9.2308 | 60 | 0.1840 | 0.9231 |
### Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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