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llama2_instruct_generation
4ndr3w/llama2_instruct_generation
llama2_instruct_generation is a machine learning model from 4ndr3w. 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
- Feb 8, 2024
- Updated
- Feb 8, 2024
- SHA
- 5132109b
Base models
Datasets
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_instruct_generation
This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.6728
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9239 | 0.0 | 20 | 1.8081 |
| 1.8915 | 0.01 | 40 | 1.7801 |
| 1.9622 | 0.01 | 60 | 1.7659 |
| 1.8338 | 0.01 | 80 | 1.7555 |
| 1.8614 | 0.01 | 100 | 1.7390 |
| 1.8221 | 0.02 | 120 | 1.7068 |
| 1.7601 | 0.02 | 140 | 1.7031 |
| 1.8557 | 0.02 | 160 | 1.6985 |
| 1.8575 | 0.02 | 180 | 1.6942 |
| 1.777 | 0.03 | 200 | 1.6925 |
| 1.8087 | 0.03 | 220 | 1.6904 |
| 1.856 | 0.03 | 240 | 1.6884 |
| 1.7704 | 0.04 | 260 | 1.6870 |
| 1.819 | 0.04 | 280 | 1.6838 |
| 1.8136 | 0.04 | 300 | 1.6836 |
| 1.768 | 0.04 | 320 | 1.6821 |
| 1.7937 | 0.05 | 340 | 1.6809 |
| 1.8045 | 0.05 | 360 | 1.6791 |
| 1.7958 | 0.05 | 380 | 1.6784 |
| 1.7995 | 0.05 | 400 | 1.6790 |
| 1.805 | 0.06 | 420 | 1.6775 |
| 1.9388 | 0.06 | 440 | 1.6742 |
| 1.8304 | 0.06 | 460 | 1.6742 |
| 1.8732 | 0.07 | 480 | 1.6729 |
| 1.8443 | 0.07 | 500 | 1.6728 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Library
- peft
- Created
- Feb 8, 2024
- Updated
- Feb 8, 2024