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---
license: apache-2.0
tags:
- generated_from_trainer
base_model: NourFakih/Vit-GPT2-COCO2017Flickr-80k-08
model-index:
- name: Vit-GPT2-COCO2017Flickr-85k-09
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. -->
# Vit-GPT2-COCO2017Flickr-85k-09
This model is a fine-tuned version of [NourFakih/Vit-GPT2-COCO2017Flickr-80k-08](https://huggingface.co/NourFakih/Vit-GPT2-COCO2017Flickr-80k-08) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5351
- eval_rouge1: 39.4446
- eval_rouge2: 14.1599
- eval_rougeL: 35.6123
- eval_rougeLsum: 35.5846
- eval_gen_len: 11.738
- eval_runtime: 463.8252
- eval_samples_per_second: 8.624
- eval_steps_per_second: 2.156
- epoch: 0.0933
- step: 500
## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
### Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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