|
--- |
|
license: apache-2.0 |
|
base_model: alignment-handbook/zephyr-7b-sft-full |
|
tags: |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
model-index: |
|
- name: zephyr-7b-UFB-ref |
|
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-UFB-ref |
|
|
|
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: 0.5067 |
|
- Rewards/chosen: -1.1023 |
|
- Rewards/rejected: -2.3762 |
|
- Rewards/accuracies: 0.7098 |
|
- Rewards/margins: 1.2739 |
|
- Logps/rejected: -120.8096 |
|
- Logps/chosen: -110.8900 |
|
- Logits/rejected: -2.1865 |
|
- Logits/chosen: -2.2284 |
|
|
|
## 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: 4 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 4 |
|
- total_train_batch_size: 16 |
|
- 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/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.5598 | 0.15 | 500 | 0.6348 | -0.4646 | -1.5732 | 0.7121 | 1.1087 | -112.7802 | -104.5124 | -2.2989 | -2.3398 | |
|
| 0.6708 | 0.3 | 1000 | 0.5807 | -1.9508 | -2.8042 | 0.6830 | 0.8534 | -125.0895 | -119.3747 | -2.2155 | -2.2623 | |
|
| 0.5984 | 0.45 | 1500 | 0.5244 | -1.4451 | -2.6765 | 0.7188 | 1.2313 | -123.8126 | -114.3180 | -2.1383 | -2.1824 | |
|
| 0.5508 | 0.6 | 2000 | 0.5644 | -1.7905 | -2.8869 | 0.6786 | 1.0964 | -125.9164 | -117.7717 | -2.0760 | -2.1208 | |
|
| 0.5218 | 0.74 | 2500 | 0.5183 | -1.3228 | -2.5470 | 0.7031 | 1.2242 | -122.5180 | -113.0946 | -2.2172 | -2.2616 | |
|
| 0.4914 | 0.89 | 3000 | 0.5079 | -1.0825 | -2.3551 | 0.7121 | 1.2725 | -120.5985 | -110.6918 | -2.2149 | -2.2567 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.36.1 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.0 |
|
|
