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mistral-finetune
Shobish07/mistral-finetune
mistral-finetune is a machine learning model from Shobish07. 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
- Jul 8, 2024
- Updated
- Jul 8, 2024
- SHA
- 911eab9f
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-finetune
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1337
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0914 | 0.2874 | 25 | 1.9959 |
| 1.9496 | 0.5747 | 50 | 1.9124 |
| 1.8866 | 0.8621 | 75 | 1.8195 |
| 1.7543 | 1.1494 | 100 | 1.7156 |
| 1.626 | 1.4368 | 125 | 1.6251 |
| 1.5435 | 1.7241 | 150 | 1.5451 |
| 1.4788 | 2.0115 | 175 | 1.4834 |
| 1.3436 | 2.2989 | 200 | 1.4299 |
| 1.3102 | 2.5862 | 225 | 1.3759 |
| 1.2478 | 2.8736 | 250 | 1.3328 |
| 1.1653 | 3.1609 | 275 | 1.2963 |
| 1.1127 | 3.4483 | 300 | 1.2587 |
| 1.0572 | 3.7356 | 325 | 1.2196 |
| 1.0213 | 4.0230 | 350 | 1.1885 |
| 0.9496 | 4.3103 | 375 | 1.1625 |
| 0.925 | 4.5977 | 400 | 1.1448 |
| 0.9109 | 4.8851 | 425 | 1.1337 |
Framework versions
- PEFT 0.11.2.dev0
- Transformers 4.43.0.dev0
- Pytorch 2.2.1
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Jul 8, 2024
- Updated
- Jul 8, 2024