metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: dialogue-samsum-pro-spacy
results: []
dialogue-samsum-pro-spacy
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: 0.3250
- Rouge1: 48.0216
- Rouge2: 24.8336
- Rougel: 40.4736
- Rougelsum: 40.4829
- Gen Len: 18.1944
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.3887 | 1.0 | 1841 | 0.3393 | 46.6582 | 23.7253 | 39.6291 | 39.5901 | 17.7531 |
| 0.3486 | 2.0 | 3682 | 0.3261 | 48.0581 | 24.6841 | 40.3964 | 40.4169 | 18.187 |
| 0.3249 | 3.0 | 5523 | 0.3250 | 48.0216 | 24.8336 | 40.4736 | 40.4829 | 18.1944 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.1+cu102
- Datasets 2.10.1
- Tokenizers 0.12.1