Temp-L1-SFT-L2-DPO
This model is a fine-tuned version of EllieS/TempReason-L1 on the EllieS/Temp-L2-DPO dataset. It achieves the following results on the evaluation set:
- Loss: 0.0028
- Rewards/chosen: -0.3437
- Rewards/rejected: -7.0807
- Rewards/accuracies: 1.0
- Rewards/margins: 6.7370
- Logps/rejected: -752.9371
- Logps/chosen: -60.2789
- Logits/rejected: -2.7330
- Logits/chosen: -2.6142
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: 5e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- 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_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0046 | 0.25 | 1000 | 0.0116 | -0.7603 | -5.8063 | 1.0 | 5.0459 | -625.4973 | -101.9450 | -2.6955 | -2.5854 |
| 0.0037 | 0.5 | 2000 | 0.0037 | -0.2218 | -6.4841 | 1.0 | 6.2624 | -693.2846 | -48.0898 | -2.7333 | -2.6137 |
| 0.0039 | 0.75 | 3000 | 0.0028 | -0.3670 | -7.1056 | 1.0 | 6.7386 | -755.4296 | -62.6133 | -2.7342 | -2.6152 |
| 0.0019 | 1.0 | 4000 | 0.0028 | -0.3437 | -7.0807 | 1.0 | 6.7370 | -752.9371 | -60.2789 | -2.7330 | -2.6142 |
Framework versions
- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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