llama2-spin-zephyr-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: 0.0032
- Rewards/real: -1.5322
- Rewards/generated: -20.8812
- Rewards/accuracies: 0.9992
- Rewards/margins: 19.3491
- Logps/generated: -369.1998
- Logps/real: -194.6499
- Logits/generated: 0.0527
- Logits/real: -0.5587
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0098 | 0.32 | 500 | 0.0108 | -0.7647 | -14.3850 | 0.9976 | 13.6202 | -304.2368 | -186.9758 | 0.0151 | -0.6190 |
| 0.0019 | 0.64 | 1000 | 0.0044 | -1.7759 | -21.6593 | 0.9984 | 19.8833 | -376.9800 | -197.0876 | 0.0480 | -0.5656 |
| 0.0009 | 0.96 | 1500 | 0.0032 | -1.5322 | -20.8812 | 0.9992 | 19.3491 | -369.1998 | -194.6499 | 0.0527 | -0.5587 |
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-zephyr-data
Base model
meta-llama/Llama-2-7b-hf