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---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- trl
- dpo
- alignment-handbook
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-full-magpi-high-bleu-3-epochs
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-magpi-high-bleu-3-epochs
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co./alignment-handbook/zephyr-7b-sft-full) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0050
- Rewards/chosen: -1.4582
- Rewards/rejected: -44.8746
- Rewards/accuracies: 0.9960
- Rewards/margins: 43.4164
- Logps/rejected: -5128.2480
- Logps/chosen: -512.8050
- Logits/rejected: -3.4441
- Logits/chosen: -3.5504
## 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: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0025 | 0.4739 | 50 | 0.0067 | -1.4454 | -37.1575 | 0.9940 | 35.7120 | -4356.5356 | -511.5262 | -3.0434 | -3.2142 |
| 0.0036 | 0.9479 | 100 | 0.0053 | -2.0303 | -41.2450 | 0.9940 | 39.2146 | -4765.2842 | -570.0164 | -3.2429 | -3.4104 |
| 0.0001 | 1.4218 | 150 | 0.0070 | -1.9459 | -45.2030 | 0.9940 | 43.2570 | -5161.0879 | -561.5757 | -3.5068 | -3.5867 |
| 0.0 | 1.8957 | 200 | 0.0047 | -1.4539 | -44.2686 | 0.9960 | 42.8147 | -5067.6450 | -512.3704 | -3.4229 | -3.5020 |
| 0.0 | 2.3697 | 250 | 0.0050 | -1.4525 | -44.7537 | 0.9960 | 43.3012 | -5116.1577 | -512.2269 | -3.4445 | -3.5510 |
| 0.0 | 2.8436 | 300 | 0.0050 | -1.4582 | -44.8746 | 0.9960 | 43.4164 | -5128.2480 | -512.8050 | -3.4441 | -3.5504 |
### Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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