Downloads · 30 days
14
11% of all-time downloads
PerspectrumInstruct-Baseline-R_32-Alpha_64_Batch_4-Epoch_1-FT-Unsloth_Mistral7B
TonyStarkD99/PerspectrumInstruct-Baseline-R_32-Alpha_64_Batch_4-Epoch_1-FT-Unsloth_Mistral7B
PerspectrumInstruct-Baseline-R_32-Alpha_64_Batch_4-Epoch_1-FT-Unsloth_Mistral7B is a machine learning model from TonyStarkD99. 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
128
Public
Repo size
336 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors336 MB · 99%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Aug 11, 2024
- Updated
- Aug 11, 2024
- SHA
- e03ba101
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. -->
PerspectrumInstruct-Baseline-R_32-Alpha_64_Batch_4-Epoch_1-FT-Unsloth_Mistral7B
This model is a fine-tuned version of unsloth/mistral-7b-instruct-v0.2-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3841
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: 3407
- 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: 5
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.356 | 0.1078 | 30 | 1.0690 |
| 1.0215 | 0.2156 | 60 | 0.9446 |
| 0.9024 | 0.3235 | 90 | 0.8369 |
| 0.8971 | 0.4313 | 120 | 0.7261 |
| 0.7858 | 0.5391 | 150 | 0.6317 |
| 0.7608 | 0.6469 | 180 | 0.5461 |
| 0.6772 | 0.7547 | 210 | 0.4775 |
| 0.6375 | 0.8625 | 240 | 0.4176 |
| 0.6158 | 0.9704 | 270 | 0.3841 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.3.0+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Aug 11, 2024
- Updated
- Aug 11, 2024