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zephyr_10k
Aneeth/zephyr_10k
zephyr_10k is a machine learning model from Aneeth. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Jan 20, 2024
- Updated
- Jan 20, 2024
- SHA
- ff843295
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. -->
zephyr_10k
This model is a fine-tuned version of TheBloke/zephyr-7B-beta-GPTQ on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1827
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: 16
- 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: 0.1
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4074 | 0.16 | 100 | 1.1947 |
| 0.7674 | 0.32 | 200 | 0.4081 |
| 0.3036 | 0.48 | 300 | 0.2392 |
| 0.2253 | 0.64 | 400 | 0.1989 |
| 0.2016 | 0.8 | 500 | 0.1855 |
| 0.1963 | 0.96 | 600 | 0.1827 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.16.0
- Tokenizers 0.15.0
- Library
- peft
- License
- mit
- Created
- Jan 20, 2024
- Updated
- Jan 20, 2024