update model card README.md

README.md

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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