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bigbird_pegasus
alshelt/bigbird_pegasus
bigbird_pegasus is a machine learning model from alshelt. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- bigbird_pegasus
- Access
- Public
- Created
- Jun 16, 2024
- Updated
- Jun 16, 2024
- SHA
- de4c181b
Base models
Model card
From the Hugging Face model README
<!-- 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 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
- Library
- transformers
- Type
- bigbird_pegasus
- License
- apache-2.0
- Created
- Jun 16, 2024
- Updated
- Jun 16, 2024