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This model is a fine-tuned version of NousResearch/Hermes-3-Llama-3.1-8B on the None 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- 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: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.2.0
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for jtz18/llama3-8b-jon
Base model
meta-llama/Meta-Llama-3.1-8B
Finetuned
NousResearch/Hermes-3-Llama-3.1-8B
Finetuned
this model