metadata
base_model: ChaiML/reward_models_100_170000000_cp_498032
tags:
- generated_from_trainer
model-index:
- name: reward-model
results: []
reward-model
This model is a fine-tuned version of ChaiML/reward_models_100_170000000_cp_498032 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5733
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: 1e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 7
- gradient_accumulation_steps: 16
- total_train_batch_size: 48
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 200
- num_epochs: 2
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.5918 | 0.12 | 200 | 0.6011 |
0.5998 | 0.24 | 400 | 0.5911 |
0.59 | 0.36 | 600 | 0.5863 |
0.585 | 0.49 | 800 | 0.5823 |
0.5646 | 0.61 | 1000 | 0.5803 |
0.6048 | 0.73 | 1200 | 0.5773 |
0.6041 | 0.85 | 1400 | 0.5784 |
0.5694 | 0.97 | 1600 | 0.5747 |
0.5855 | 1.09 | 1800 | 0.5767 |
0.5764 | 1.22 | 2000 | 0.5764 |
0.5606 | 1.34 | 2200 | 0.5799 |
0.5583 | 1.46 | 2400 | 0.5778 |
0.5656 | 1.58 | 2600 | 0.5731 |
0.5812 | 1.7 | 2800 | 0.5747 |
0.5911 | 1.82 | 3000 | 0.5731 |
0.5771 | 1.94 | 3200 | 0.5733 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0