Model save

README.md

@@ -0,0 +1,67 @@
+---
+base_model: ddobokki/vision-encoder-decoder-vit-gpt2-coco-ko
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: multimodla-Bitamin
+  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. -->
+
+# multimodla-Bitamin
+
+This model is a fine-tuned version of [ddobokki/vision-encoder-decoder-vit-gpt2-coco-ko](https://huggingface.co/ddobokki/vision-encoder-decoder-vit-gpt2-coco-ko) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0072
+- Rouge1: 12.9679
+- Rouge2: 7.7677
+- Rougel: 12.925
+- Rougelsum: 13.0194
+- Gen Len: 100.0
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 0.1498        | 1.0   | 2982  | 0.1130          | 0.1508  | 0.1508 | 0.1508  | 0.1508    | 100.0   |
+| 0.0668        | 2.0   | 5964  | 0.0518          | 2.443   | 1.3413 | 2.4246  | 2.4731    | 100.0   |
+| 0.0284        | 3.0   | 8946  | 0.0217          | 5.9838  | 3.3142 | 5.9543  | 5.9938    | 100.0   |
+| 0.0126        | 4.0   | 11928 | 0.0103          | 11.5414 | 6.9713 | 11.5097 | 11.6223   | 100.0   |
+| 0.0071        | 5.0   | 14910 | 0.0072          | 12.9679 | 7.7677 | 12.925  | 13.0194   | 100.0   |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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 {
-  "_from_model_config": true,
   "bos_token_id": 0,
   "decoder_start_token_id": 0,
   "eos_token_id": 1,

runs/Aug19_06-06-54_332be09c6309/events.out.tfevents.1724048131.332be09c6309.182.0

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