falcon-7b-dpo-lora
This model is a fine-tuned version of tiiuae/falcon-7b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6909
- Rewards/chosen: 0.0159
- Rewards/rejected: 0.0096
- Rewards/accuracies: 0.3175
- Rewards/margins: 0.0063
- Logps/rejected: -88.4353
- Logps/chosen: -109.9771
- Logits/rejected: -14.9384
- Logits/chosen: -14.8499
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-07
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 32
- total_train_batch_size: 512
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6927 | 1.0 | 121 | 0.6929 | 0.0035 | 0.0015 | 0.2857 | 0.0020 | -88.5168 | -110.1007 | -14.9346 | -14.8473 |
| 0.6915 | 2.0 | 242 | 0.6917 | 0.0116 | 0.0071 | 0.3056 | 0.0045 | -88.4605 | -110.0199 | -14.9351 | -14.8469 |
| 0.6913 | 3.0 | 363 | 0.6909 | 0.0159 | 0.0096 | 0.3175 | 0.0063 | -88.4353 | -109.9771 | -14.9384 | -14.8499 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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Base model
tiiuae/falcon-7b