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Mistral_7B_Instruct_V02
sahil-theloops/Mistral_7B_Instruct_V02
Mistral_7B_Instruct_V02 is a machine learning model from sahil-theloops. 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. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Mar 27, 2024
- Updated
- Mar 27, 2024
- SHA
- bfb2ec30
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_V02
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3369
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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3241 | 0.14 | 200 | 0.3797 |
| 0.3135 | 0.28 | 400 | 0.3664 |
| 0.3343 | 0.43 | 600 | 0.3595 |
| 0.3664 | 0.57 | 800 | 0.3544 |
| 0.2947 | 0.71 | 1000 | 0.3510 |
| 0.3098 | 0.85 | 1200 | 0.3483 |
| 0.3488 | 1.0 | 1400 | 0.3454 |
| 0.2957 | 1.14 | 1600 | 0.3447 |
| 0.2821 | 1.28 | 1800 | 0.3430 |
| 0.2814 | 1.42 | 2000 | 0.3410 |
| 0.2756 | 1.56 | 2200 | 0.3392 |
| 0.2769 | 1.71 | 2400 | 0.3379 |
| 0.2946 | 1.85 | 2600 | 0.3364 |
| 0.2933 | 1.99 | 2800 | 0.3349 |
| 0.2529 | 2.13 | 3000 | 0.3383 |
| 0.2781 | 2.28 | 3200 | 0.3377 |
| 0.2561 | 2.42 | 3400 | 0.3387 |
| 0.2467 | 2.56 | 3600 | 0.3377 |
| 0.2758 | 2.7 | 3800 | 0.3375 |
| 0.221 | 2.84 | 4000 | 0.3370 |
| 0.2579 | 2.99 | 4200 | 0.3369 |
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.38.2
- Pytorch 2.2.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- License
- apache-2.0
- Created
- Mar 27, 2024
- Updated
- Mar 27, 2024