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llama2_7b_test_4
selimsheker/llama2_7b_test_4
llama2_7b_test_4 is a machine learning model from selimsheker. 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 llama2.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama2
- Access
- Public
- Created
- Aug 1, 2024
- Updated
- Aug 1, 2024
- SHA
- 04199910
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. -->
llama2_7b_test_4
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the alpaca_en_demo dataset. It achieves the following results on the evaluation set:
- Loss: 1.6859
- Accuracy: 0.6973
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: 1
- eval_batch_size: 1
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.5627 | 0.0356 | 4 | 1.9985 | 0.6939 |
| 2.2846 | 0.0711 | 8 | 1.6859 | 0.6973 |
Framework versions
- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.2.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- llama2
- Created
- Aug 1, 2024
- Updated
- Aug 1, 2024