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CodeLlama-7b-Instruct-hf-FaVe-rank64-2epochs-v2
Ferdi/CodeLlama-7b-Instruct-hf-FaVe-rank64-2epochs-v2
CodeLlama-7b-Instruct-hf-FaVe-rank64-2epochs-v2 is a machine learning model from Ferdi. 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. The card lists the license as llama2.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama2
- Access
- Public
- Created
- Jun 26, 2024
- Updated
- Jun 26, 2024
- SHA
- f8134e9c
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. -->
CodeLlama-7b-Instruct-hf-FaVe-rank64-2epochs-v2
This model is a fine-tuned version of meta-llama/CodeLlama-7b-Instruct-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3430
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: 0.0005
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.2685 | 10 | 1.1999 |
| 1.487 | 0.5369 | 20 | 0.6377 |
| 1.487 | 0.8054 | 30 | 0.5197 |
| 0.5387 | 1.0738 | 40 | 0.4247 |
| 0.5387 | 1.3423 | 50 | 0.3851 |
| 0.3837 | 1.6107 | 60 | 0.3540 |
| 0.3837 | 1.8792 | 70 | 0.3430 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- License
- llama2
- Created
- Jun 26, 2024
- Updated
- Jun 26, 2024