---
license: apache-2.0
base_model: hallisky/sarcasm-classifier-gpt4-data
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: taskA-hallisky-sarcasm-classifier-gpt4-data
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# taskA-hallisky-sarcasm-classifier-gpt4-data

This model is a fine-tuned version of [hallisky/sarcasm-classifier-gpt4-data](https://huggingface.co/hallisky/sarcasm-classifier-gpt4-data) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9103
- Accuracy: 0.7722
- Precision: 0.5525
- Recall: 0.4697
- F1: 0.5078

## 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: 4e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.5499        | 0.7752 | 500  | 0.6671          | 0.7599   | 0.5307    | 0.3487 | 0.4209 |
| 0.4267        | 1.5504 | 1000 | 0.6445          | 0.7664   | 0.5441    | 0.4092 | 0.4671 |
| 0.3895        | 2.3256 | 1500 | 0.7337          | 0.7851   | 0.6522    | 0.3026 | 0.4134 |
| 0.3492        | 3.1008 | 2000 | 0.6803          | 0.7823   | 0.5830    | 0.4553 | 0.5113 |
| 0.3251        | 3.8760 | 2500 | 0.7877          | 0.7621   | 0.5251    | 0.5130 | 0.5190 |
| 0.308         | 4.6512 | 3000 | 0.9103          | 0.7722   | 0.5525    | 0.4697 | 0.5078 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1