metadata
base_model: google/pegasus-xsum
tags:
- generated_from_trainer
model-index:
- name: pegasus-claude-training
results: []
pegasus-claude-training
This model is a fine-tuned version of google/pegasus-xsum on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3502
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: 1
- eval_batch_size: 1
- seed: 42
- 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 |
|---|---|---|---|
| 2.8418 | 1.0 | 4261 | 1.3951 |
| 1.253 | 2.0 | 8522 | 1.3563 |
| 1.1643 | 3.0 | 12783 | 1.3502 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0