---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: funnel-transformer-xlarge_cls_SentEval-CR
  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-transformer-xlarge_cls_SentEval-CR

This model is a fine-tuned version of [funnel-transformer/xlarge](https://huggingface.co/funnel-transformer/xlarge) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2731
- Accuracy: 0.9389

## 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-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: cosine
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 189  | 0.4483          | 0.8752   |
| No log        | 2.0   | 378  | 0.2299          | 0.9349   |
| 0.3223        | 3.0   | 567  | 0.3703          | 0.9004   |
| 0.3223        | 4.0   | 756  | 0.2214          | 0.9376   |
| 0.3223        | 5.0   | 945  | 0.2731          | 0.9389   |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2