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---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: zephyr-7b-sft-safe-hhrlhf
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-sft-safe-hhrlhf
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 generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1996
## 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: 2e-05
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4854 | 0.06 | 25 | 1.4540 |
| 1.43 | 0.12 | 50 | 1.4291 |
| 1.4188 | 0.18 | 75 | 1.4451 |
| 1.4465 | 0.25 | 100 | 1.4565 |
| 1.4499 | 0.31 | 125 | 1.4525 |
| 1.4387 | 0.37 | 150 | 1.4409 |
| 1.4368 | 0.43 | 175 | 1.4226 |
| 1.4095 | 0.49 | 200 | 1.4227 |
| 1.4065 | 0.55 | 225 | 1.4044 |
| 1.3747 | 0.62 | 250 | 1.3881 |
| 1.3847 | 0.68 | 275 | 1.3720 |
| 1.3526 | 0.74 | 300 | 1.3581 |
| 1.3072 | 0.8 | 325 | 1.3410 |
| 1.3146 | 0.86 | 350 | 1.3239 |
| 1.2783 | 0.92 | 375 | 1.3106 |
| 1.2773 | 0.99 | 400 | 1.2896 |
| 0.7303 | 1.05 | 425 | 1.3327 |
| 0.6911 | 1.11 | 450 | 1.3081 |
| 0.7044 | 1.17 | 475 | 1.3012 |
| 0.6597 | 1.23 | 500 | 1.2845 |
| 0.6717 | 1.29 | 525 | 1.2701 |
| 0.6538 | 1.35 | 550 | 1.2666 |
| 0.6484 | 1.42 | 575 | 1.2481 |
| 0.633 | 1.48 | 600 | 1.2404 |
| 0.6252 | 1.54 | 625 | 1.2332 |
| 0.6423 | 1.6 | 650 | 1.2212 |
| 0.6182 | 1.66 | 675 | 1.2115 |
| 0.6218 | 1.72 | 700 | 1.2099 |
| 0.6293 | 1.79 | 725 | 1.2038 |
| 0.5978 | 1.85 | 750 | 1.2014 |
| 0.6176 | 1.91 | 775 | 1.1995 |
| 0.6475 | 1.97 | 800 | 1.1996 |
### Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2
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