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circut
vinhtran2611/circut
circut is a machine learning model from vinhtran2611. 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 other.
should probably proofread and complete it, then remove this comment. --
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.safetensors110 MB · 92%
At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Jul 22, 2024
- Updated
- Jul 22, 2024
- SHA
- 192687f8
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. -->
sft_lima_8b_ins_v3
This model is a fine-tuned version of models/Meta-Llama-3-8B-Instruct on the lima_semikong dataset. It achieves the following results on the evaluation set:
- Loss: 0.6983
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 6
- gradient_accumulation_steps: 2
- total_train_batch_size: 96
- total_eval_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7143 | 1.9048 | 200 | 0.7185 |
| 0.6386 | 3.8095 | 400 | 0.6983 |
| 0.5724 | 5.7143 | 600 | 0.7067 |
| 0.5079 | 7.6190 | 800 | 0.7283 |
| 0.4958 | 9.5238 | 1000 | 0.7384 |
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
- other
- Created
- Jul 22, 2024
- Updated
- Jul 22, 2024