---
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