metadata
base_model: google/pegasus-cnn_dailymail
tags:
- generated_from_trainer
model-index:
- name: cot_results
results: []
cot_results
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: 1.1160
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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 300 | 7.7991 |
| 7.8435 | 2.0 | 600 | 2.6112 |
| 7.8435 | 3.0 | 900 | 1.2209 |
| 2.9736 | 4.0 | 1200 | 1.1317 |
| 1.6755 | 5.0 | 1500 | 1.1160 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1