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reviewed_HC-ft
isithin/reviewed_HC-ft
reviewed_HC-ft is a machine learning model from isithin. 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
- Jun 13, 2024
- Updated
- Jun 13, 2024
- SHA
- c5ec930c
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. -->
reviewed_HC-ft
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3541
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.6267 | 0.9524 | 5 | 3.1480 |
| 3.3425 | 1.9048 | 10 | 2.9051 |
| 3.0243 | 2.8571 | 15 | 2.7216 |
| 2.2615 | 4.0 | 21 | 2.5584 |
| 2.5823 | 4.9524 | 26 | 2.4631 |
| 2.4623 | 5.9048 | 31 | 2.3997 |
| 2.4022 | 6.8571 | 36 | 2.3640 |
| 1.8414 | 7.6190 | 40 | 2.3541 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Jun 13, 2024
- Updated
- Jun 13, 2024