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mistral_instruct_generation
Nkr3ch17/mistral_instruct_generation
mistral_instruct_generation is a machine learning model from Nkr3ch17. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- Apr 18, 2024
- Updated
- Apr 21, 2024
- SHA
- 4d556edd
Base models
Datasets
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_instruct_generation
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.3233
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.05 | 20 | 0.5742 |
| No log | 0.09 | 40 | 0.5366 |
| No log | 0.14 | 60 | 0.5206 |
| No log | 0.18 | 80 | 0.5128 |
| 0.553 | 0.23 | 100 | 0.5081 |
| 0.553 | 0.27 | 120 | 0.5027 |
| 0.553 | 0.32 | 140 | 0.4991 |
| 0.553 | 0.36 | 160 | 0.4961 |
| 0.553 | 0.41 | 180 | 0.4938 |
| 0.498 | 0.45 | 200 | 0.4892 |
| 0.498 | 0.5 | 220 | 0.4848 |
| 0.498 | 0.54 | 240 | 0.4804 |
| 0.498 | 0.59 | 260 | 0.4764 |
| 0.498 | 0.63 | 280 | 0.4698 |
| 0.4806 | 0.68 | 300 | 0.4630 |
| 0.4806 | 0.72 | 320 | 0.4543 |
| 0.4806 | 0.77 | 340 | 0.4457 |
| 0.4806 | 0.81 | 360 | 0.4324 |
| 0.4806 | 0.86 | 380 | 0.4200 |
| 0.4393 | 0.9 | 400 | 0.4105 |
| 0.4393 | 0.95 | 420 | 0.3930 |
| 0.4393 | 1.0 | 440 | 0.3763 |
| 0.4393 | 1.04 | 460 | 0.3614 |
| 0.4393 | 1.09 | 480 | 0.3438 |
| 0.3692 | 1.13 | 500 | 0.3233 |
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- Created
- Apr 18, 2024
- Updated
- Apr 21, 2024