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---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- generated_from_trainer
model-index:
- name: spin-margin1
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-margin1
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: 0.0052
- Rewards/real: -2.4343
- Rewards/generated: -23.3733
- Rewards/accuracies: 1.0
- Rewards/margins: 20.9390
- Logps/generated: -328.0982
- Logps/real: -152.5396
- Logits/generated: -2.4931
- Logits/real: -2.1379
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
| 0.006 | 0.14 | 100 | 0.0103 | 0.8828 | -8.9433 | 1.0 | 9.8261 | -183.7986 | -119.3683 | -2.7878 | -2.5728 |
| 0.0049 | 0.28 | 200 | 0.0059 | -0.3283 | -12.8574 | 1.0 | 12.5290 | -222.9388 | -131.4797 | -2.6820 | -2.3354 |
| 0.0008 | 0.41 | 300 | 0.0046 | -0.3088 | -17.1447 | 1.0 | 16.8359 | -265.8120 | -131.2846 | -2.6102 | -2.2508 |
| 0.0003 | 0.55 | 400 | 0.0040 | -1.1157 | -16.5400 | 1.0 | 15.4243 | -259.7652 | -139.3531 | -2.7045 | -2.2690 |
| 0.0013 | 0.69 | 500 | 0.0044 | -0.9383 | -19.5328 | 1.0 | 18.5945 | -289.6934 | -137.5797 | -2.5767 | -2.1514 |
| 0.0007 | 0.83 | 600 | 0.0047 | -2.3358 | -22.0378 | 1.0 | 19.7019 | -314.7427 | -151.5544 | -2.5354 | -2.2155 |
| 0.0012 | 0.96 | 700 | 0.0052 | -2.4343 | -23.3733 | 1.0 | 20.9390 | -328.0982 | -152.5396 | -2.4931 | -2.1379 |
### Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2
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