---
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: video_prompt_generation
  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. -->

# video_prompt_generation

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1494
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 0.0

## 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: 2e-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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 12   | 9.1895          | 0.035  | 0.0027 | 0.032  | 0.0319    | 5.75    |
| No log        | 2.0   | 24   | 5.4070          | 0.0319 | 0.0    | 0.0291 | 0.0292    | 5.75    |
| No log        | 3.0   | 36   | 2.9765          | 0.0255 | 0.0    | 0.0228 | 0.0227    | 4.3333  |
| No log        | 4.0   | 48   | 1.6960          | 0.0117 | 0.0    | 0.0117 | 0.0117    | 1.5     |
| No log        | 5.0   | 60   | 1.3199          | 0.0029 | 0.0    | 0.0029 | 0.0029    | 0.6667  |
| No log        | 6.0   | 72   | 1.2154          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| No log        | 7.0   | 84   | 1.1874          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| No log        | 8.0   | 96   | 1.1794          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| No log        | 9.0   | 108  | 1.1652          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| No log        | 10.0  | 120  | 1.1494          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1