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mistral-instruct-adv-robust-3-sft-lora
justinwangx/mistral-instruct-adv-robust-3-sft-lora
mistral-instruct-adv-robust-3-sft-lora is a machine learning model from justinwangx. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Jan 8, 2024
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jan 8, 2024
- Updated
- Jan 8, 2024
- SHA
- e092ce16
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-instruct-adv-robust-3-sft-lora
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5498
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.1318 | 0.12 | 1 | 2.8355 |
| 3.1318 | 1.12 | 2 | 2.6371 |
| 3.1318 | 2.12 | 3 | 2.4963 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0a0+32f93b1
- Datasets 2.14.6
- Tokenizers 0.14.1
- License
- apache-2.0
- Created
- Jan 8, 2024
- Updated
- Jan 8, 2024