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---
license: apache-2.0
base_model: google/bigbird-pegasus-large-arxiv
tags:
- generated_from_trainer
model-index:
- name: bigbird_pegasus
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. -->
# bigbird_pegasus
This model is a fine-tuned version of [google/bigbird-pegasus-large-arxiv](https://huggingface.co/google/bigbird-pegasus-large-arxiv) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: nan
## 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: 3e-05
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_steps: 500
- training_steps: 20000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0 | 0.0 | 500 | nan |
| 0.0 | 0.01 | 1000 | nan |
| 0.0 | 0.01 | 1500 | nan |
| 0.0 | 0.01 | 2000 | nan |
| 0.0 | 0.02 | 2500 | nan |
| 0.0 | 0.02 | 3000 | nan |
| 0.0 | 0.02 | 3500 | nan |
| 0.0 | 0.03 | 4000 | nan |
| 0.0 | 0.03 | 4500 | nan |
| 0.0 | 0.03 | 5000 | nan |
| 0.0 | 0.04 | 5500 | nan |
| 0.0 | 0.04 | 6000 | nan |
| 0.0 | 0.05 | 6500 | nan |
| 0.0 | 0.05 | 7000 | nan |
| 0.0 | 0.05 | 7500 | nan |
| 0.0 | 0.06 | 8000 | nan |
| 0.0 | 0.06 | 8500 | nan |
| 0.0 | 0.06 | 9000 | nan |
| 0.0 | 0.07 | 9500 | nan |
| 0.0 | 0.07 | 10000 | nan |
| 0.0 | 0.07 | 10500 | nan |
| 0.0 | 0.08 | 11000 | nan |
| 0.0 | 0.08 | 11500 | nan |
| 0.0 | 0.08 | 12000 | nan |
| 0.0 | 0.09 | 12500 | nan |
| 0.0 | 0.09 | 13000 | nan |
| 0.0 | 0.09 | 13500 | nan |
| 0.0 | 0.1 | 14000 | nan |
| 0.0 | 0.1 | 14500 | nan |
| 0.0 | 0.1 | 15000 | nan |
| 0.0 | 0.11 | 15500 | nan |
| 0.0 | 0.11 | 16000 | nan |
| 0.0 | 0.11 | 16500 | nan |
| 0.0 | 0.12 | 17000 | nan |
| 0.0 | 0.12 | 17500 | nan |
| 0.0 | 0.13 | 18000 | nan |
| 0.0 | 0.13 | 18500 | nan |
| 0.0 | 0.13 | 19000 | nan |
| 0.0 | 0.14 | 19500 | nan |
| 0.0 | 0.14 | 20000 | nan |
### Framework versions
- Transformers 4.37.2
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.1
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