metadata
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: ViT-Bert_Mimic
results: []
ViT-Bert_Mimic
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2334
- Rouge1: 27.4942
- Rouge2: 21.9051
- Rougel: 26.9521
- Rougelsum: 27.0238
- Gen Len: 16.0
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 125 | 0.3533 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
| No log | 2.0 | 250 | 0.3009 | 7.9737 | 1.5 | 7.7593 | 7.9222 | 16.38 |
| No log | 3.0 | 375 | 0.2334 | 27.4942 | 21.9051 | 26.9521 | 27.0238 | 16.0 |
Framework versions
- Transformers 4.37.1
- Pytorch 1.13.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.1