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llama-2-7B-Guanaco-QLoRA-AWQ
pjherron/llama-2-7B-Guanaco-QLoRA-AWQ
llama-2-7B-Guanaco-QLoRA-AWQ is a machine learning model from pjherron. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as llama2.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Nov 9, 2023
Repo size
1.4 GB
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At a glance
- License
- llama2
- Access
- Public
- Created
- Nov 8, 2023
- Updated
- Nov 9, 2023
- SHA
- 9cb381ee
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. -->
llama-2-7B-Guanaco-QLoRA-AWQ
This model is a fine-tuned version of TheBloke/llama-2-7B-Guanaco-QLoRA-AWQ on the emotion dataset.
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 250 | 1.6793 | 0.3225 | 0.2723 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- License
- llama2
- Created
- Nov 8, 2023
- Updated
- Nov 9, 2023