Downloads · 30 days
3
11% of all-time downloads
Mistral-7B-Instruct-v0.2-GPTQ_retrained_NF_TON_IOT
rnaveensrinivas/Mistral-7B-Instruct-v0.2-GPTQ_retrained_NF_TON_IOT
Mistral-7B-Instruct-v0.2-GPTQ_retrained_NF_TON_IOT is a machine learning model from rnaveensrinivas. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
28
Public
Repo size
42.5 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors8.4 MB · 78%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- May 1, 2024
- Updated
- May 1, 2024
- SHA
- cd8f491a
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. -->
Mistral-7B-Instruct-v0.2-GPTQ_retrained_NF_TON_IOT
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2117
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: 4
- 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: 2
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9088 | 1.0 | 1 | 1.3562 |
| 0.9303 | 2.0 | 2 | 1.3320 |
| 0.9044 | 3.0 | 3 | 1.2748 |
| 0.8551 | 4.0 | 4 | 1.2338 |
| 0.821 | 5.0 | 5 | 1.2117 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.1.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- May 1, 2024
- Updated
- May 1, 2024