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---
tags:
- generated_from_trainer
datasets:
- coco
metrics:
- rouge
- bleu
model-index:
- name: IC_ver2_coco_swin_gpt2_5pc_1e
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. -->
# IC_ver2_coco_swin_gpt2_5pc_1e
This model is a fine-tuned version of [](https://huggingface.co/) on the coco dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9972
- Rouge1: 34.8608
- Rouge2: 10.9857
- Rougel: 32.1905
- Rougelsum: 32.1794
- Bleu: 6.1162
- Gen Len: 11.2887
## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:------:|:-------:|
| 1.4995 | 0.23 | 100 | 1.1227 | 28.4179 | 5.9026 | 26.5601 | 26.5682 | 3.0237 | 11.2887 |
| 1.136 | 0.45 | 200 | 1.0506 | 31.4866 | 8.9504 | 29.1403 | 29.0996 | 4.2965 | 11.2887 |
| 1.0899 | 0.68 | 300 | 1.0203 | 33.9899 | 10.3576 | 31.6646 | 31.6435 | 5.5456 | 11.2887 |
| 1.057 | 0.9 | 400 | 0.9972 | 34.8608 | 10.9857 | 32.1905 | 32.1794 | 6.1162 | 11.2887 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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