---
license: apache-2.0
base_model: funnel-transformer/small-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: Funnel-finetuned-stationary-update
  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-finetuned-stationary-update

This model is a fine-tuned version of [funnel-transformer/small-base](https://huggingface.co/funnel-transformer/small-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6506
- Accuracy: 0.8267
- F1: 0.8212

## 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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.6307        | 1.0   | 38   | 0.5364          | 0.6667   | 0.5333 |
| 0.5143        | 2.0   | 76   | 0.4769          | 0.6667   | 0.5333 |
| 0.4497        | 3.0   | 114  | 0.5060          | 0.7567   | 0.7270 |
| 0.398         | 4.0   | 152  | 0.5025          | 0.8167   | 0.8082 |
| 0.3168        | 5.0   | 190  | 0.4550          | 0.8033   | 0.8072 |
| 0.2705        | 6.0   | 228  | 0.5615          | 0.8133   | 0.8034 |
| 0.2016        | 7.0   | 266  | 0.5831          | 0.83     | 0.8213 |
| 0.1492        | 8.0   | 304  | 0.6144          | 0.83     | 0.8243 |
| 0.1184        | 9.0   | 342  | 0.6269          | 0.82     | 0.8150 |
| 0.0935        | 10.0  | 380  | 0.6506          | 0.8267   | 0.8212 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0