metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mymodel_v2
results: []
mymodel_v2
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4125
- Rouge1: 1.6853
- Rouge2: 1.4164
- Rougel: 1.665
- Rougelsum: 1.6684
- Gen Len: 19.4876
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: 0.0002
- train_batch_size: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.033 | 1.0 | 4611 | 1.5088 | 1.5731 | 1.333 | 1.5503 | 1.5559 | 19.531 |
| 1.6016 | 2.0 | 9222 | 1.4125 | 1.6853 | 1.4164 | 1.665 | 1.6684 | 19.4876 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3