metadata
license: apache-2.0
base_model: tsavage68/UTI_M2_1000steps_1e5rate_SFT
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: UTI_M2_200steps_1e7rate_01beta_CSFTDPO
results: []
UTI_M2_200steps_1e7rate_01beta_CSFTDPO
This model is a fine-tuned version of tsavage68/UTI_M2_1000steps_1e5rate_SFT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2079
- Rewards/chosen: 0.4687
- Rewards/rejected: -1.5148
- Rewards/accuracies: 0.9000
- Rewards/margins: 1.9835
- Logps/rejected: -59.3138
- Logps/chosen: -15.6076
- Logits/rejected: -3.8213
- Logits/chosen: -3.7441
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-07
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6928 | 0.3333 | 25 | 0.6881 | 0.0023 | -0.0079 | 0.7300 | 0.0102 | -44.2452 | -20.2718 | -3.8169 | -3.7449 |
| 0.6578 | 0.6667 | 50 | 0.6325 | 0.0226 | -0.1063 | 0.8800 | 0.1289 | -45.2294 | -20.0689 | -3.8170 | -3.7449 |
| 0.5691 | 1.0 | 75 | 0.5043 | 0.0873 | -0.3772 | 0.9000 | 0.4645 | -47.9383 | -19.4217 | -3.8188 | -3.7462 |
| 0.3598 | 1.3333 | 100 | 0.3707 | 0.1758 | -0.7982 | 0.8900 | 0.9740 | -52.1479 | -18.5365 | -3.8221 | -3.7487 |
| 0.2615 | 1.6667 | 125 | 0.2615 | 0.3619 | -1.2250 | 0.9000 | 1.5869 | -56.4161 | -16.6756 | -3.8216 | -3.7458 |
| 0.2369 | 2.0 | 150 | 0.2166 | 0.4540 | -1.4578 | 0.9000 | 1.9118 | -58.7439 | -15.7542 | -3.8215 | -3.7446 |
| 0.1778 | 2.3333 | 175 | 0.2082 | 0.4687 | -1.5135 | 0.9000 | 1.9822 | -59.3007 | -15.6071 | -3.8212 | -3.7441 |
| 0.185 | 2.6667 | 200 | 0.2079 | 0.4687 | -1.5148 | 0.9000 | 1.9835 | -59.3138 | -15.6076 | -3.8213 | -3.7441 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.0.0+cu117
- Datasets 2.19.2
- Tokenizers 0.19.1