library_name, license, base_model, tags, datasets, model-index
| library_name | license | base_model | tags | datasets | model-index | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| transformers | llama3 | meta-llama/Meta-Llama-3-8B |
|
|
|
llama-3-8b-base-hh-harmless-sft-4xh100
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the Anthropic/hh-rlhf 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1