metadata
base_model: october-sd/pegasus-xsum-finetuned-en-sum
tags:
- summarization
- generated_from_trainer
model-index:
- name: pegasus-latest-finetuned2
results: []
pegasus-latest-finetuned2
This model is a fine-tuned version of october-sd/pegasus-xsum-finetuned-en-sum on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4684
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.97 | 8 | 1.4542 |
| No log | 1.94 | 16 | 1.4580 |
| No log | 2.91 | 24 | 1.4593 |
| No log | 4.0 | 33 | 1.4595 |
| No log | 4.97 | 41 | 1.4610 |
| No log | 5.94 | 49 | 1.4629 |
| No log | 6.91 | 57 | 1.4649 |
| No log | 8.0 | 66 | 1.4669 |
| No log | 8.97 | 74 | 1.4681 |
| No log | 9.7 | 80 | 1.4684 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.2