zephyr-7b-spin-iter0-v0
This model is a fine-tuned model with SPIN starting with alignment-handbook/zephyr-7b-sft-full on the argilla/10k_prompts_SPIN_iter0_zephyr_top dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2359
- Rewards/real: 1.3255
- Rewards/generated: -0.8966
- Rewards/accuracies: 0.9792
- Rewards/margins: 2.2221
- Logps/generated: -309.8145
- Logps/real: -304.9670
- Logits/generated: -2.7558
- Logits/real: -2.7547
MT-Bench results
| Model | 1st Turn Score | 2nd Turn Score | Average Score |
|---|---|---|---|
| zephyr-7b-sft-full | 6.6625 | 6.0250 | 6.34375 |
| zephyr-7b-spin-iter0-v0 | 6.64375 | 6.1750 | 6.409375 |
| zephyr-7b-spin-iter1-v0 | 6.90625 | 6.3000 | 6.603125 |
| zephyr-7b-spin-iter2-v0 | 7.1375 | 6.3125 | 6.725000 |
| zephyr-7b-spin-iter3-v0 | 7.09375 | 6.4500 | 6.771875 |
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
SPIN
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/real | Rewards/generated | Rewards/accuracies | Rewards/margins | Logps/generated | Logps/real | Logits/generated | Logits/real |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.3011 | 0.96 | 25 | 0.2442 | 1.1606 | -0.9851 | 0.9792 | 2.1457 | -310.6989 | -306.6157 | -2.7644 | -2.7641 |
| 0.0376 | 1.92 | 50 | 0.2359 | 1.3255 | -0.8966 | 0.9792 | 2.2221 | -309.8145 | -304.9670 | -2.7558 | -2.7547 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2