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llama2_instruct_generation
vpkrishna/llama2_instruct_generation
llama2_instruct_generation is a machine learning model from vpkrishna. 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
- Jan 23, 2024
- Updated
- Jan 23, 2024
- SHA
- ff72cddf
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: 1.6908
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: 1
- 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 |
|---|---|---|---|
| 1.7099 | 0.0 | 20 | 1.8211 |
| 1.9047 | 0.0 | 40 | 1.7987 |
| 1.9396 | 0.0 | 60 | 1.7830 |
| 1.9942 | 0.0 | 80 | 1.7758 |
| 1.8507 | 0.0 | 100 | 1.7698 |
| 2.0794 | 0.0 | 120 | 1.7683 |
| 1.8043 | 0.0 | 140 | 1.7646 |
| 2.0321 | 0.01 | 160 | 1.7563 |
| 1.7889 | 0.01 | 180 | 1.7487 |
| 1.8727 | 0.01 | 200 | 1.7279 |
| 1.6872 | 0.01 | 220 | 1.7131 |
| 1.6098 | 0.01 | 240 | 1.7100 |
| 2.0663 | 0.01 | 260 | 1.7101 |
| 1.8513 | 0.01 | 280 | 1.7054 |
| 1.7695 | 0.01 | 300 | 1.7015 |
| 1.7101 | 0.01 | 320 | 1.7015 |
| 1.7896 | 0.01 | 340 | 1.6957 |
| 2.0864 | 0.01 | 360 | 1.6974 |
| 1.8656 | 0.01 | 380 | 1.6949 |
| 1.8073 | 0.01 | 400 | 1.6928 |
| 1.7276 | 0.01 | 420 | 1.6911 |
| 1.7795 | 0.01 | 440 | 1.6897 |
| 1.8992 | 0.02 | 460 | 1.6882 |
| 1.5421 | 0.02 | 480 | 1.6889 |
| 1.9574 | 0.02 | 500 | 1.6908 |
Framework versions
- PEFT 0.7.1
- Transformers 4.37.0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- peft
- Created
- Jan 23, 2024
- Updated
- Jan 23, 2024