pegasus-x-large-annual-report-QLoRA-fine-tuned-v1.3
This model is a fine-tuned version of pszemraj/pegasus-x-large-book-summary on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4858
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- num_epochs: 1
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.5395 | 0.9973 | 187 | 0.4858 |
Framework versions
- PEFT 0.10.0
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu118
- Datasets 2.14.5
- Tokenizers 0.19.1
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Model tree for IronOne-AI-Labs/pegasus-x-large-annual-report-QLoRA-fine-tuned-v1.3
Base model
google/pegasus-x-large
Finetuned
pszemraj/pegasus-x-large-book-summary