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llama2-7b-without-context
K-kiron/llama2-7b-without-context
llama2-7b-without-context is a machine learning model from K-kiron. 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
- Apr 14, 2024
- Updated
- Apr 14, 2024
- SHA
- 37eb3da6
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-without-context
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5472
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: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4112 | 1.0 | 700 | 0.5501 |
| 0.3723 | 2.0 | 1400 | 0.5426 |
| 0.3621 | 3.0 | 2100 | 0.5409 |
| 0.3565 | 4.0 | 2800 | 0.5472 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2
- Library
- peft
- Created
- Apr 14, 2024
- Updated
- Apr 14, 2024