metadata
base_model: google/pegasus-xsum
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: LLM_Teached_Pegasus
results: []
LLM_Teached_Pegasus
This model is a fine-tuned version of google/pegasus-xsum on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7905
- Rouge1: 0.4388
- Rouge2: 0.1916
- Rougel: 0.3479
- Rougelsum: 0.3476
- Gen Len: 28.7182
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: 16
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|---|---|---|---|
| 2.0092 | 1.0 | 1250 | 1.8228 | 0.4351 | 0.188 | 0.3414 | 0.3411 | 28.7045 |
| 1.8992 | 2.0 | 2500 | 1.7905 | 0.4388 | 0.1916 | 0.3479 | 0.3476 | 28.7182 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.15.0