80 lines
2.6 KiB
Markdown
80 lines
2.6 KiB
Markdown
|
---
|
||
|
|
license: apache-2.0
|
||
|
|
base_model: mistralai/Mistral-7B-Instruct-v0.2
|
||
|
|
tags:
|
||
|
|
- alignment-handbook
|
||
|
|
- generated_from_trainer
|
||
|
|
- trl
|
||
|
|
- dpo
|
||
|
|
- generated_from_trainer
|
||
|
|
datasets:
|
||
|
|
- snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset
|
||
|
|
model-index:
|
||
|
|
- name: selective-pairrm-33045197-mt0
|
||
|
|
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. -->
|
||
|
|
|
||
|
|
# selective-pairrm-33045197-mt0
|
||
|
|
|
||
|
|
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset dataset.
|
||
|
|
It achieves the following results on the evaluation set:
|
||
|
|
- Loss: 0.6825
|
||
|
|
- Rewards/chosen: -0.2329
|
||
|
|
- Rewards/rejected: -0.2692
|
||
|
|
- Rewards/accuracies: 0.6055
|
||
|
|
- Rewards/margins: 0.0362
|
||
|
|
- Logps/rejected: -417.6746
|
||
|
|
- Logps/chosen: -401.4102
|
||
|
|
- Logits/rejected: -3.1643
|
||
|
|
- Logits/chosen: -3.1708
|
||
|
|
|
||
|
|
## 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
|
||
|
|
- gradient_accumulation_steps: 4
|
||
|
|
- total_train_batch_size: 64
|
||
|
|
- 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: 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 |
|
||
|
|
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
|
||
|
|
| 0.6786 | 0.32 | 100 | 0.6868 | -0.0869 | -0.1015 | 0.5547 | 0.0146 | -400.9028 | -386.8027 | -2.8786 | -2.8855 |
|
||
|
|
| 0.6615 | 0.64 | 200 | 0.6828 | -0.1851 | -0.2144 | 0.5938 | 0.0294 | -412.2021 | -396.6207 | -3.0607 | -3.0672 |
|
||
|
|
| 0.6539 | 0.96 | 300 | 0.6821 | -0.2322 | -0.2693 | 0.6055 | 0.0371 | -417.6892 | -401.3395 | -3.1645 | -3.1709 |
|
||
|
|
|
||
|
|
|
||
|
|
### Framework versions
|
||
|
|
|
||
|
|
- Transformers 4.36.2
|
||
|
|
- Pytorch 2.1.2
|
||
|
|
- Datasets 2.14.6
|
||
|
|
- Tokenizers 0.15.0
|