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---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-full-gpt-low-curriculum
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. -->
# zephyr-7b-dpo-full-gpt-low-curriculum
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: 0.5229
- Rewards/chosen: -0.8152
- Rewards/rejected: -1.5392
- Rewards/accuracies: 0.7069
- Rewards/margins: 0.7241
- Logps/rejected: -399.5724
- Logps/chosen: -365.5233
- Logits/rejected: 1.4072
- Logits/chosen: 0.3892
## 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: 55
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6558 | 0.1147 | 50 | 0.6455 | 0.0044 | -0.0965 | 0.6810 | 0.1009 | -255.3015 | -283.5690 | -2.4863 | -2.5882 |
| 0.5907 | 0.2294 | 100 | 0.5894 | -0.2321 | -0.5376 | 0.7069 | 0.3055 | -299.4117 | -307.2200 | -2.4655 | -2.5910 |
| 0.5657 | 0.3440 | 150 | 0.5474 | -0.5168 | -1.0293 | 0.7198 | 0.5125 | -348.5750 | -335.6879 | -0.6546 | -1.0350 |
| 0.5303 | 0.4587 | 200 | 0.5414 | -1.0659 | -1.7181 | 0.75 | 0.6522 | -417.4532 | -390.5937 | 0.7246 | 0.0707 |
| 0.5472 | 0.5734 | 250 | 0.5268 | -0.8095 | -1.4718 | 0.7155 | 0.6623 | -392.8294 | -364.9606 | 1.2657 | 0.4213 |
| 0.5517 | 0.6881 | 300 | 0.5284 | -0.8914 | -1.6145 | 0.7112 | 0.7231 | -407.0940 | -373.1438 | 1.3137 | 0.2994 |
| 0.4943 | 0.8028 | 350 | 0.5237 | -0.8328 | -1.5668 | 0.7112 | 0.7339 | -402.3227 | -367.2895 | 1.4252 | 0.4044 |
| 0.5335 | 0.9174 | 400 | 0.5229 | -0.8152 | -1.5392 | 0.7069 | 0.7241 | -399.5724 | -365.5233 | 1.4072 | 0.3892 |
### Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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