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mistral-finetune-7b-v3
sejalhugface/mistral-finetune-7b-v3
mistral-finetune-7b-v3 is a machine learning model from sejalhugface. 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
- Oct 18, 2024
- Updated
- Oct 18, 2024
- SHA
- b34e5e59
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-finetune-7b-v3
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.7274
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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6188 | 1.2012 | 50 | 0.7098 |
| 0.4322 | 2.4024 | 100 | 0.7274 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.45.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.20.1
- Library
- peft
- License
- apache-2.0
- Created
- Oct 18, 2024
- Updated
- Oct 18, 2024