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---
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
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