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_only_ep5
  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. -->

# GIT_inf_only_ep5

This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the Sherlock dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0494
- Rouge1: 44.6137
- Rouge2: 13.6972
- Rougel: 43.5306
- Rougelsum: 43.5484
- Gen Len: 207.45

## 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: 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  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| 0.0526        | 1.0   | 1586 | 0.0505          | 3.3402  | 0.8279  | 3.239   | 3.2361    | 207.45   |
| 0.0457        | 2.0   | 3172 | 0.0496          | 40.1232 | 13.4573 | 39.2584 | 39.2555   | 207.4505 |
| 0.0404        | 3.0   | 4758 | 0.0492          | 42.6704 | 12.4947 | 41.5807 | 41.5836   | 207.4505 |
| 0.0368        | 4.0   | 6344 | 0.0494          | 44.5041 | 14.6203 | 43.3769 | 43.423    | 207.4505 |
| 0.0331        | 5.0   | 7930 | 0.0494          | 44.6137 | 13.6972 | 43.5306 | 43.5484   | 207.45   |


### Framework versions

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