---
license: apache-2.0
base_model: funnel-transformer/intermediate-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: NLPGroupProject-Finetune-Funnel-Transformer
  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. -->

# NLPGroupProject-Finetune-Funnel-Transformer

This model is a fine-tuned version of [funnel-transformer/intermediate-base](https://huggingface.co/funnel-transformer/intermediate-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3863
- Accuracy: 0.263

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4073        | 0.25  | 500  | 1.3863          | 0.262    |
| 1.403         | 0.5   | 1000 | 1.3863          | 0.275    |
| 1.4031        | 0.75  | 1500 | 1.3863          | 0.263    |
| 1.4035        | 1.0   | 2000 | 1.3863          | 0.259    |
| 1.3984        | 1.25  | 2500 | 1.3863          | 0.283    |
| 1.3904        | 1.5   | 3000 | 1.3863          | 0.263    |
| 1.3977        | 1.75  | 3500 | 1.3863          | 0.252    |
| 1.3949        | 2.0   | 4000 | 1.3863          | 0.272    |
| 1.3979        | 2.25  | 4500 | 1.3863          | 0.258    |
| 1.3965        | 2.5   | 5000 | 1.3863          | 0.225    |
| 1.3944        | 2.75  | 5500 | 1.3863          | 0.246    |
| 1.3999        | 3.0   | 6000 | 1.3863          | 0.263    |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.2+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1