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llama2_int
erbacher/llama2_int
llama2_int 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.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Oct 11, 2023
Repo size
403 MB
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At a glance
- Access
- Public
- Created
- Oct 11, 2023
- Updated
- Oct 11, 2023
- SHA
- 447c02fc
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_int
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: 4e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu117
- Datasets 2.11.0
- Tokenizers 0.14.0
- Created
- Oct 11, 2023
- Updated
- Oct 11, 2023