Downloads · 30 days
4
19% of all-time downloads
CodeLlama-7B-Instruct-AWQ-FaVe-rank8-5epochs
Ferdi/CodeLlama-7B-Instruct-AWQ-FaVe-rank8-5epochs
CodeLlama-7B-Instruct-AWQ-FaVe-rank8-5epochs 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. --
All-time downloads
21
Public
Repo size
16.8 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors16.8 MB · 90%
At a glance
- Library
- peft
- License
- llama2
- Access
- Public
- Created
- Jun 21, 2024
- Updated
- Jun 21, 2024
- SHA
- b3c96ebb
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-AWQ-FaVe-rank8-5epochs
This model is a fine-tuned version of TheBloke/CodeLlama-7B-Instruct-AWQ on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3996
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.2685 | 10 | 2.3301 |
| 2.272 | 0.5369 | 20 | 1.7115 |
| 2.272 | 0.8054 | 30 | 1.1441 |
| 1.2423 | 1.0738 | 40 | 0.8882 |
| 1.2423 | 1.3423 | 50 | 0.7282 |
| 0.7367 | 1.6107 | 60 | 0.6615 |
| 0.7367 | 1.8792 | 70 | 0.6051 |
| 0.611 | 2.1477 | 80 | 0.5641 |
| 0.611 | 2.4161 | 90 | 0.5262 |
| 0.5255 | 2.6846 | 100 | 0.4957 |
| 0.5255 | 2.9530 | 110 | 0.4806 |
| 0.5286 | 3.2215 | 120 | 0.4523 |
| 0.5286 | 3.4899 | 130 | 0.4435 |
| 0.4599 | 3.7584 | 140 | 0.4213 |
| 0.4599 | 4.0268 | 150 | 0.4111 |
| 0.3868 | 4.2953 | 160 | 0.4042 |
| 0.3868 | 4.5638 | 170 | 0.4026 |
| 0.3877 | 4.8322 | 180 | 0.3996 |
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 21, 2024
- Updated
- Jun 21, 2024