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results
gizemgg/results
results is a machine learning model from gizemgg. 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 peft.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- Jul 27, 2024
- Updated
- Jul 27, 2024
- SHA
- ee7f8b39
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. -->
results
This model is a fine-tuned version of gizemgg/Llama-2-7b-chat-hf-finetuned-wiki-eng-summary-trial-gen5 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8774
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0487 | 0.93 | 6 | 0.9595 |
| 1.0306 | 1.86 | 12 | 0.9414 |
| 0.8627 | 2.95 | 19 | 0.9183 |
| 0.9787 | 3.88 | 25 | 0.8934 |
| 0.7588 | 4.66 | 30 | 0.8774 |
Framework versions
- PEFT 0.8.2
- Transformers 4.39.3
- Pytorch 2.1.2+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
- Library
- peft
- Created
- Jul 27, 2024
- Updated
- Jul 27, 2024