[Update] ReadMe

README.md

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+---
+title: Ask-Anything:ChatGPT with Video Understanding
+emoji: :movie_camera:
+colorFrom: pink
+colorTo: green
+sdk: gradio
+python_version: 3.8.16
+app_file: app.py
+pinned: false
+license: mit
+---
 # VideoChat
 
 VideoChat is a multifunctional video question answering tool that combines the functions of Action Recognition, Visual Captioning and ChatGPT. Our solution generates dense, descriptive captions for any object and action in a video, offering a range of language styles to suit different user preferences. It supports users to have conversations in different lengths, emotions, authenticity of language.

pretrained_models/flan-t5-large-finetuned-openai-summarize_from_feedback

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pretrained_models/flan-t5-large-finetuned-openai-summarize_from_feedback/README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- summarize_from_feedback
+metrics:
+- rouge
+model-index:
+- name: flan-t5-large-finetuned-openai-summarize_from_feedback
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: summarize_from_feedback
+      type: summarize_from_feedback
+      config: comparisons
+      split: train
+      args: comparisons
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 30.2401
+    - name: Rouge2
+      type: rouge
+      value: 11.4916
+    - name: RougeL
+      type: rouge
+      value: 24.6485
+    - name: RougeLSum
+      type: rouge
+      value: 26.1801
+pipeline_tag: summarization
+---
+
+<!-- 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. -->
+
+# flan-t5-large-finetuned-openai-summarize_from_feedback
+
+This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the summarize_from_feedback dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3118
+- Rouge1: 30.2401
+- Rouge2: 11.4916
+- Rougel: 24.6485
+- Rougelsum: 26.1801
+- Gen Len: 18.8428
+
+## 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: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 6
+
+### Training results
+
+See [Tensorboard](https://huggingface.co/mrm8488/flan-t5-large-finetuned-openai-summarize_from_feedback/tensorboard)
+
+
+### Citation
+
+```
+@misc {manuel_romero_2023,
+	author       = { {Manuel Romero} },
+	title        = { flan-t5-large-finetuned-openai-summarize_from_feedback (Revision 51666f9) },
+	year         = 2023,
+	url          = { https://huggingface.co/mrm8488/flan-t5-large-finetuned-openai-summarize_from_feedback },
+	doi          = { 10.57967/hf/0266 },
+	publisher    = { Hugging Face }
+}
+```
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.0+cu116
+- Datasets 2.8.0
+- Tokenizers 0.13.2

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+  "vocab_size": 32128
+}

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