transformers pytorch tensorboard vision-encoder-decoder generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: git-base-xr
  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-base-xr

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0641
- Bleu: 9.4387

## 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: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 3.5821        | 5.26  | 50   | 1.2163          | 4.6142  |
| 0.8599        | 10.53 | 100  | 0.8719          | 10.5680 |
| 0.5491        | 15.79 | 150  | 0.8546          | 9.7374  |
| 0.3605        | 21.05 | 200  | 0.8975          | 10.2395 |
| 0.2409        | 26.32 | 250  | 0.9652          | 9.8718  |
| 0.1664        | 31.58 | 300  | 1.0042          | 11.7264 |
| 0.1234        | 36.84 | 350  | 1.0462          | 10.5668 |
| 0.1002        | 42.11 | 400  | 1.0569          | 9.7232  |
| 0.0876        | 47.37 | 450  | 1.0641          | 9.4387  |


### Framework versions

- Transformers 4.27.3
- Pytorch 2.1.0+cu121
- Datasets 2.14.7
- Tokenizers 0.13.3
