---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- unsup-wc
model-index:
- name: contrastive-unsup-wc-pixel-base-mean-64-128-1-3e-6-7600-42-eval
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# contrastive-unsup-wc-pixel-base-mean-64-128-1-3e-6-7600-42-eval

This model is a fine-tuned version of [Team-PIXEL/pixel-base](https://huggingface.co./Team-PIXEL/pixel-base) on the UNSUP-WC dataset.

## 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: 3e-06
- train_batch_size: 128
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 7600

### Training results



### Framework versions

- Transformers 4.17.0
- Pytorch 1.11.0
- Datasets 2.14.7.dev0
- Tokenizers 0.14.1