output
This model is a fine-tuned version of togethercomputer/llama-2-70b-chat 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: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 16
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4.0
Training results
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1
Demo video and Chat Template
Demo video for this: https://www.linkedin.com/feed/update/urn:li:activity:7169266339990233088
Chat template is same as Llama-70b: [INST] query[/INST] answer
Stop words are: [INST]
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Model tree for GenVRadmin/Llamavaad
Base model
togethercomputer/llama-2-70b-chat