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Llama2-7B-Syntax-Instruct
Kamyar-zeinalipour/Llama2-7B-Syntax-Instruct
Llama2-7B-Syntax-Instruct is a machine learning model from Kamyar-zeinalipour. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- Mar 8, 2024
- Updated
- Mar 8, 2024
- SHA
- 92011af1
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. -->
llama7B_LORA_AFG_32_64_v4
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9318
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: 16
- eval_batch_size: 16
- seed: 100
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.952 | 1.0 | 125 | 0.9609 |
| 0.9045 | 2.0 | 251 | 0.9335 |
| 0.9073 | 2.99 | 375 | 0.9318 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.38.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- peft
- Created
- Mar 8, 2024
- Updated
- Mar 8, 2024