ZeroShot-Llama2-13B-weni-loss-experiment
This model is a fine-tuned version of NousResearch/Nous-Hermes-Llama2-13b 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: 0.0004
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 3500
Framework versions
- Transformers 4.31.0
- Pytorch 2.1.0+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3
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Model tree for beamaia/ZeroShot-Llama2-13B-weni-loss-experiment
Base model
NousResearch/Nous-Hermes-Llama2-13b