metadata
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: SwinV2-GPT2_Mimic
results: []
SwinV2-GPT2_Mimic
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1623
- Rouge1: 30.2654
- Rouge2: 21.4825
- Rougel: 30.2471
- Rougelsum: 30.3167
- Gen Len: 9.0
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 125 | 0.1705 | 30.2654 | 21.4825 | 30.2471 | 30.3167 | 9.0 |
| No log | 2.0 | 250 | 0.1623 | 30.2654 | 21.4825 | 30.2471 | 30.3167 | 9.0 |
Framework versions
- Transformers 4.37.1
- Pytorch 1.13.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.1