---
tags:
- generated_from_trainer
model-index:
- name: image-caption-generator
  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. -->

# image-caption-generator

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4328

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 67   | 0.2870          |
| No log        | 2.0   | 134  | 0.2818          |
| No log        | 3.0   | 201  | 0.2921          |
| No log        | 4.0   | 268  | 0.3125          |
| No log        | 5.0   | 335  | 0.3431          |
| No log        | 6.0   | 402  | 0.3812          |
| No log        | 7.0   | 469  | 0.3979          |
| 0.3841        | 8.0   | 536  | 0.4125          |
| 0.3841        | 9.0   | 603  | 0.4289          |
| 0.3841        | 10.0  | 670  | 0.4328          |


### Framework versions

- Transformers 4.16.2
- Pytorch 1.9.1
- Datasets 1.18.4
- Tokenizers 0.11.6