layer-project
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0064
- Accuracy: 1.0
Model description
The model is fine-tuned as a reward function for RLHF finetuning.
Intended uses & limitations
The model is trained on very limited data.
Training and evaluation data
hanyinwang/layer-project-reward-training
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0365 | 1.0 | 5 | 0.0393 | 1.0 |
| 0.0142 | 2.0 | 10 | 0.0349 | 1.0 |
| 0.0228 | 3.0 | 15 | 0.0295 | 1.0 |
| 0.0157 | 4.0 | 20 | 0.0249 | 1.0 |
| 0.0153 | 5.0 | 25 | 0.0211 | 1.0 |
| 0.0117 | 6.0 | 30 | 0.0181 | 1.0 |
| 0.0072 | 7.0 | 35 | 0.0155 | 1.0 |
| 0.0121 | 8.0 | 40 | 0.0135 | 1.0 |
| 0.0097 | 9.0 | 45 | 0.0119 | 1.0 |
| 0.008 | 10.0 | 50 | 0.0106 | 1.0 |
| 0.0055 | 11.0 | 55 | 0.0095 | 1.0 |
| 0.0046 | 12.0 | 60 | 0.0087 | 1.0 |
| 0.0085 | 13.0 | 65 | 0.0081 | 1.0 |
| 0.0046 | 14.0 | 70 | 0.0076 | 1.0 |
| 0.0059 | 15.0 | 75 | 0.0072 | 1.0 |
| 0.0044 | 16.0 | 80 | 0.0069 | 1.0 |
| 0.0021 | 17.0 | 85 | 0.0067 | 1.0 |
| 0.0039 | 18.0 | 90 | 0.0066 | 1.0 |
| 0.0027 | 19.0 | 95 | 0.0065 | 1.0 |
| 0.0039 | 20.0 | 100 | 0.0064 | 1.0 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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