---
license: apache-2.0
base_model: funnel-transformer/xlarge-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: funnel-test-512
  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. -->

# funnel-test-512

This model is a fine-tuned version of [funnel-transformer/xlarge-base](https://huggingface.co/funnel-transformer/xlarge-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4556
- Accuracy: 0.8041

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6108        | 0.2   | 59   | 0.6724          | 0.6460   |
| 0.651         | 0.4   | 118  | 0.6463          | 0.6451   |
| 0.6052        | 0.61  | 177  | 0.6210          | 0.6424   |
| 0.4588        | 0.81  | 236  | 0.4556          | 0.8041   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0