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---
base_model: VK246/IC_ver6d_coco_swin_gpt2_50Bpc_1e
tags:
- generated_from_trainer
datasets:
- coco
metrics:
- rouge
model-index:
- name: IC_ver6trial_coco_swin_gpt2_50Apc_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_ver6trial_coco_swin_gpt2_50Apc_1e
This model is a fine-tuned version of [VK246/IC_ver6d_coco_swin_gpt2_50Bpc_1e](https://huggingface.co/VK246/IC_ver6d_coco_swin_gpt2_50Bpc_1e) on the coco dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8113
- Cider: 43.6787
- Rouge1: 41.4057
- Rouge2: 16.177
- Rougel: 38.9636
- Rougelsum: 38.8335
- Bleu-1: 43.1153
- Bleu-2: 24.9997
- Bleu-3: 15.7558
- Bleu-4: 10.4674
- Gen Len: 11.1124
## 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: 96
- eval_batch_size: 96
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
### Training results
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3