metadata
base_model: google/pegasus-cnn_dailymail
tags:
- summarization
- generated_from_trainer
model-index:
- name: pegasus-reviews
results: []
pegasus-reviews
This model is a fine-tuned version of google/pegasus-cnn_dailymail on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.3085
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8541 | 1.0 | 1 | 4.3114 |
| 0.8178 | 2.0 | 2 | 4.3112 |
| 0.9366 | 3.0 | 3 | 4.3108 |
| 0.831 | 4.0 | 4 | 4.3102 |
| 0.8294 | 5.0 | 5 | 4.3094 |
| 0.2781 | 5.33 | 6 | 4.3085 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0
- Datasets 2.12.0
- Tokenizers 0.14.1