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zephyr-convsearch-7b
erbacher/zephyr-convsearch-7b
zephyr-convsearch-7b is a machine learning model from erbacher. 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 mit.
should probably proofread and complete it, then remove this comment. --
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Updated Dec 20, 2023
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At a glance
- License
- mit
- Access
- Public
- Created
- Dec 18, 2023
- Updated
- Dec 20, 2023
- SHA
- 33adfe67
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-convsearch-7b
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4475
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 32
- total_train_batch_size: 512
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5796 | 0.62 | 34 | 0.5780 |
| 0.5119 | 1.62 | 68 | 0.5122 |
| 0.4799 | 2.63 | 103 | 0.4831 |
| 0.4712 | 3.62 | 137 | 0.4706 |
| 0.4615 | 4.63 | 172 | 0.4631 |
| 0.4584 | 5.62 | 206 | 0.4574 |
| 0.4524 | 6.63 | 241 | 0.4529 |
| 0.4507 | 7.62 | 275 | 0.4502 |
| 0.4478 | 8.63 | 310 | 0.4480 |
| 0.4467 | 9.62 | 344 | 0.4475 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.1+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- License
- mit
- Created
- Dec 18, 2023
- Updated
- Dec 20, 2023