metadata
base_model: google/bigbird-pegasus-large-pubmed
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: qa_by_bird_prompt_tuned
results: []
qa_by_bird_prompt_tuned
This model is a fine-tuned version of google/bigbird-pegasus-large-pubmed on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.6781
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: 0.002
- train_batch_size: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|
| 4.8197 | 1.0 | 1000 | 4.7013 |
| 4.7442 | 2.0 | 2000 | 4.6771 |
| 4.6951 | 3.0 | 3000 | 4.6781 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.2.2
- Datasets 2.20.0
- Tokenizers 0.19.1