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results_packing
andrewAmani/results_packing
results_packing is a machine learning model from andrewAmani. 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 4, 2024
- Updated
- Jul 4, 2024
- SHA
- 2539316e
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_packing
This model is a fine-tuned version of hivaze/ParaLex-Llama-3-8B-SFT on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8083
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 17
- total_train_batch_size: 17
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.3306 | 1.25 | 5 | 5.9428 |
| 5.4669 | 2.5 | 10 | 4.3334 |
| 4.0282 | 3.75 | 15 | 3.1156 |
| 2.9271 | 5.0 | 20 | 2.3114 |
| 2.3074 | 6.25 | 25 | 1.9202 |
| 1.9795 | 7.5 | 30 | 1.8083 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- Created
- Jul 4, 2024
- Updated
- Jul 4, 2024