metadata
base_model: ubaada/pegasus-x-large-booksum-16k
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: pegasus-x-large-booksum-16k
results: []
pegasus-x-large-booksum-16k
This model is a fine-tuned version of ubaada/pegasus-x-large-booksum-16k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9879
- Rouge1: 0.2983
- Rouge2: 0.0463
- Rougel: 0.1367
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: 4e-05
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel |
|---|---|---|---|---|---|---|
| 1.3846 | 0.9992 | 314 | 1.9879 | 0.2983 | 0.0463 | 0.1367 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.0
- Datasets 2.19.1
- Tokenizers 0.19.1