transformers safetensors git text-generation generated_from_trainer base_model:microsoft/git-base license:mit autotrain_compatible endpoints_compatible region:us
---
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: GIT_inf_w_caption_ep5
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# GIT_inf_w_caption_ep5

This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0654
- Rouge1: 12.7519
- Rouge2: 7.5439
- Rougel: 11.7555
- Rougelsum: 11.7932
- Gen Len: 217.52

## 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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 0.0748        | 1.0   | 793  | 0.0728          | 12.808  | 6.3869 | 11.7383 | 11.7726   | 218.414 |
| 0.0609        | 2.0   | 1586 | 0.0680          | 11.2577 | 6.0559 | 10.3475 | 10.3572   | 218.404 |
| 0.0502        | 3.0   | 2379 | 0.0653          | 11.9383 | 6.7699 | 10.9829 | 10.9964   | 218.39  |
| 0.0401        | 4.0   | 3172 | 0.0647          | 12.5115 | 7.3787 | 11.4956 | 11.5161   | 218.224 |
| 0.0328        | 5.0   | 3965 | 0.0654          | 12.7519 | 7.5439 | 11.7555 | 11.7932   | 217.52  |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
