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---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- generated_from_trainer
model-index:
- name: spin-v-diverse
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# spin-v-diverse
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0027
- Rewards/real: -2.6757
- Rewards/generated: -21.8763
- Rewards/accuracies: 1.0
- Rewards/margins: 19.2006
- Logps/generated: -346.5988
- Logps/real: -161.4224
- Logits/generated: -2.5880
- Logits/real: -2.4315
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
| 0.0257 | 0.06 | 100 | 0.0288 | 1.0058 | -5.7769 | 0.9928 | 6.7828 | -185.6055 | -124.6072 | -2.8843 | -2.6520 |
| 0.0096 | 0.13 | 200 | 0.0126 | -0.1554 | -12.6258 | 0.9984 | 12.4704 | -254.0941 | -136.2193 | -2.5945 | -2.2413 |
| 0.024 | 0.19 | 300 | 0.0126 | 0.1173 | -11.0946 | 0.9968 | 11.2119 | -238.7820 | -133.4925 | -2.7227 | -2.5040 |
| 0.0065 | 0.26 | 400 | 0.0082 | -0.1964 | -13.6305 | 0.9984 | 13.4341 | -264.1411 | -136.6298 | -2.7028 | -2.4738 |
| 0.0073 | 0.32 | 500 | 0.0081 | 0.0850 | -13.4368 | 0.9984 | 13.5218 | -262.2040 | -133.8156 | -2.6477 | -2.4285 |
| 0.0035 | 0.38 | 600 | 0.0071 | -2.8739 | -18.4641 | 1.0 | 15.5902 | -312.4772 | -163.4043 | -2.5956 | -2.3811 |
| 0.0097 | 0.45 | 700 | 0.0077 | -2.2908 | -16.9898 | 0.9984 | 14.6989 | -297.7338 | -157.5739 | -2.5210 | -2.2045 |
| 0.0052 | 0.51 | 800 | 0.0065 | -1.6983 | -19.8323 | 0.9992 | 18.1340 | -326.1593 | -151.6484 | -2.7183 | -2.5409 |
| 0.0037 | 0.58 | 900 | 0.0067 | -1.2826 | -16.6590 | 0.9984 | 15.3763 | -294.4258 | -147.4920 | -2.6881 | -2.5334 |
| 0.0023 | 0.64 | 1000 | 0.0047 | -1.9423 | -19.2263 | 1.0 | 17.2840 | -320.0990 | -154.0886 | -2.6404 | -2.4694 |
| 0.0041 | 0.7 | 1100 | 0.0050 | -2.4756 | -19.3047 | 1.0 | 16.8290 | -320.8827 | -159.4218 | -2.6368 | -2.4329 |
| 0.0033 | 0.77 | 1200 | 0.0037 | -2.8600 | -20.2625 | 1.0 | 17.4025 | -330.4614 | -163.2654 | -2.6240 | -2.4681 |
| 0.0042 | 0.83 | 1300 | 0.0032 | -2.6738 | -20.7669 | 1.0 | 18.0931 | -335.5057 | -161.4039 | -2.5974 | -2.4463 |
| 0.0031 | 0.9 | 1400 | 0.0030 | -2.1767 | -20.6456 | 0.9992 | 18.4690 | -334.2925 | -156.4323 | -2.6144 | -2.4595 |
| 0.0015 | 0.96 | 1500 | 0.0027 | -2.6757 | -21.8763 | 1.0 | 19.2006 | -346.5988 | -161.4224 | -2.5880 | -2.4315 |
### Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2
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