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nq_checkpoints_cbr
Seongill/nq_checkpoints_cbr
nq_checkpoints_cbr is a machine learning model from Seongill. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Dec 4, 2023
Repo size
1.5 GB
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Repo makeup
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.safetensors134 MB · 99%
At a glance
- Access
- Public
- Created
- Dec 2, 2023
- Updated
- Dec 4, 2023
- SHA
- 65b5efd7
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. -->
nq_checkpoints_cbr
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Created
- Dec 2, 2023
- Updated
- Dec 4, 2023