transformers tensorboard safetensors vision-encoder-decoder generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: VIT_ara_gpt2
  results: []
---

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# VIT_ara_gpt2

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.3934
- eval_rouge2_precision: 0.0
- eval_rouge2_recall: 0.0
- eval_rouge2_fmeasure: 0.0
- eval_runtime: 1818.7738
- eval_samples_per_second: 1.329
- eval_steps_per_second: 0.042
- epoch: 1.0
- step: 1360

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1024
- num_epochs: 3

### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1
