metadata
license: llama2
base_model: StanfordAIMI/RadLLaMA-7b
tags:
- generated_from_trainer
model-index:
- name: RewardRadLLaMA-7b
results: []
StanfordAIMI/RewardRadLLaMA-7b
This model is a fine-tuned version of StanfordAIMI/RadLLaMA-7b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0644
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 32
- total_train_batch_size: 2048
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3.0
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.2634 | 0.64 | 25 | 0.2924 |
0.1216 | 1.28 | 50 | 0.0898 |
0.0833 | 1.92 | 75 | 0.0718 |
0.062 | 2.56 | 100 | 0.0644 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1