metadata
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: ViT-RadBert_Mimic
results: []
ViT-RadBert_Mimic
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4024
- Rouge1: 12.4067
- Rouge2: 0.0
- Rougel: 12.3221
- Rougelsum: 12.5107
- Gen Len: 20.0
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 25 | 0.4603 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| No log | 2.0 | 50 | 0.4319 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| No log | 3.0 | 75 | 0.4115 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
| No log | 4.0 | 100 | 0.4034 | 0.8274 | 0.0 | 0.8 | 0.8274 | 20.0 |
| No log | 5.0 | 125 | 0.4024 | 12.4067 | 0.0 | 12.3221 | 12.5107 | 20.0 |
Framework versions
- Transformers 4.37.1
- Pytorch 1.13.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.1