llama2-spin-llama2-data
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0006
- Rewards/real: 2.2530
- Rewards/generated: -19.7401
- Rewards/accuracies: 1.0
- Rewards/margins: 21.9931
- Logps/generated: -369.5714
- Logps/real: -156.9775
- Logits/generated: -0.1105
- Logits/real: -0.5282
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- 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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/real | Rewards/generated | Rewards/accuracies | Rewards/margins | Logps/generated | Logps/real | Logits/generated | Logits/real |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0006 | 0.29 | 500 | 0.0024 | 1.7596 | -12.5613 | 1.0 | 14.3209 | -297.7838 | -161.9117 | -0.0675 | -0.5573 |
| 0.0003 | 0.58 | 1000 | 0.0013 | 2.3476 | -16.6356 | 1.0 | 18.9832 | -338.5269 | -156.0320 | -0.0887 | -0.5339 |
| 0.0002 | 0.87 | 1500 | 0.0006 | 2.2530 | -19.7401 | 1.0 | 21.9931 | -369.5714 | -156.9775 | -0.1105 | -0.5282 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2
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Model tree for AmberYifan/llama2-spin-llama2-data
Base model
meta-llama/Llama-2-7b-hf