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---
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: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# qa_by_bird_prompt_tuned
This model is a fine-tuned version of [google/bigbird-pegasus-large-pubmed](https://huggingface.co/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 |