|
--- |
|
license: mit |
|
base_model: HuggingFaceH4/mistral-7b-sft-beta |
|
tags: |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
model-index: |
|
- name: zephyr-7b-dpo-full |
|
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 |
|
|
|
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFaceH4/mistral-7b-sft-beta) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2143 |
|
- Rewards/chosen: -0.8956 |
|
- Rewards/rejected: -1.5167 |
|
- Rewards/accuracies: 0.7031 |
|
- Rewards/margins: 0.6212 |
|
- Logps/rejected: -409.0278 |
|
- Logps/chosen: -346.5983 |
|
- Logits/rejected: -2.4275 |
|
- Logits/chosen: -2.4425 |
|
|
|
## 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: 3 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.2667 | 0.21 | 100 | 0.2670 | -0.4530 | -0.7921 | 0.6797 | 0.3391 | -336.5636 | -302.3352 | -2.7593 | -2.7741 | |
|
| 0.2068 | 0.42 | 200 | 0.2087 | -0.8343 | -1.3671 | 0.6836 | 0.5328 | -394.0588 | -340.4660 | -2.5512 | -2.5673 | |
|
| 0.2095 | 0.63 | 300 | 0.2233 | -0.8384 | -1.4377 | 0.7109 | 0.5993 | -401.1194 | -340.8771 | -2.4645 | -2.4791 | |
|
| 0.204 | 0.84 | 400 | 0.2143 | -0.8956 | -1.5167 | 0.7031 | 0.6212 | -409.0278 | -346.5983 | -2.4275 | -2.4425 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.2 |
|
- Pytorch 2.1.2+cu121 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.14.1 |
|
|
