metadata
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: InstructTweetSummarizer
results: []
InstructTweetSummarizer
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3548
- Rouge1: 47.5134
- Rouge2: 24.7121
- Rougel: 35.7366
- Rougelsum: 35.6499
- Gen Len: 111.96
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: 6
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 12
- 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 | 417 | 0.3468 | 44.9326 | 22.3736 | 33.008 | 32.9247 | 116.43 |
| 0.5244 | 2.0 | 834 | 0.3440 | 46.9139 | 24.683 | 35.3699 | 35.333 | 119.65 |
| 0.2061 | 3.0 | 1251 | 0.3548 | 47.5134 | 24.7121 | 35.7366 | 35.6499 | 111.96 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0
- Datasets 2.14.7
- Tokenizers 0.14.1