library_name, base_model, tags, datasets, model-index
| library_name | base_model | tags | datasets | model-index | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| transformers | meta-llama/Meta-Llama-3-8B |
|
|
|
llama-3-8b-base-sft-hh-harmless-8xh200-20260410-140525
This model is a fine-tuned version of /scratch/feng.yulu/dynamic-dpo-v4/base_models/Meta-Llama-3-8B on the Anthropic/hh-rlhf dataset. It achieves the following results on the evaluation set:
- Loss: 1.5660
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: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5418 | 0.9615 | 100 | 1.5660 |
Framework versions
- Transformers 4.51.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.21.4