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---
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
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