---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: KANLlama_RottenTomatoes
  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. -->

# KANLlama_RottenTomatoes

It achieves the following results on the evaluation set:
- Loss: 0.5279
- Accuracy: 0.7467

## 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: 0.001
- train_batch_size: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6626        | 1.0   | 427  | 0.5694          | 0.7139   |
| 0.4869        | 2.0   | 854  | 0.5279          | 0.7467   |
| 0.3559        | 3.0   | 1281 | 0.5713          | 0.7486   |
| 0.2279        | 4.0   | 1708 | 0.7230          | 0.7458   |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1