metadata
license: mit
base_model: VietAI/vit5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: vit5-base-transcript-summarizer
results: []
vit5-base-transcript-summarizer
This model is a fine-tuned version of VietAI/vit5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5995
- Rouge1: 52.1518
- Rouge2: 28.7254
- Rougel: 41.1877
- Rougelsum: 46.0726
- Gen Len: 16.5342
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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.6432 | 1.0 | 1842 | 0.6072 | 50.2818 | 27.4589 | 39.9803 | 44.436 | 15.7775 |
| 0.5389 | 2.0 | 3684 | 0.5928 | 51.449 | 28.8498 | 41.1803 | 45.7102 | 16.2433 |
| 0.4847 | 3.0 | 5526 | 0.5941 | 51.2837 | 28.3449 | 40.5158 | 45.1193 | 16.0562 |
| 0.4398 | 4.0 | 7368 | 0.5995 | 52.1518 | 28.7254 | 41.1877 | 46.0726 | 16.5342 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2