video_prompt_generation
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 0.1089
- Rouge2: 0.023
- Rougel: 0.0946
- Rougelsum: 0.0943
- Gen Len: 10.5833
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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 12 | nan | 0.1089 | 0.023 | 0.0946 | 0.0943 | 10.5833 |
| No log | 2.0 | 24 | nan | 0.1089 | 0.023 | 0.0946 | 0.0943 | 10.5833 |
| No log | 3.0 | 36 | nan | 0.1089 | 0.023 | 0.0946 | 0.0943 | 10.5833 |
| No log | 4.0 | 48 | nan | 0.1089 | 0.023 | 0.0946 | 0.0943 | 10.5833 |
| No log | 5.0 | 60 | nan | 0.1089 | 0.023 | 0.0946 | 0.0943 | 10.5833 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1