|
--- |
|
library_name: transformers |
|
base_model: allenai/tulu-2-7b |
|
tags: |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
model-index: |
|
- name: ultrafeedback-binarized-tulu-2-7b-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. --> |
|
|
|
# ultrafeedback-binarized-tulu-2-7b-dpo-full |
|
|
|
This model is a fine-tuned version of [allenai/tulu-2-7b](https://huggingface.co/allenai/tulu-2-7b) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6640 |
|
- Rewards/chosen: 0.0423 |
|
- Rewards/rejected: -0.0311 |
|
- Rewards/accuracies: 0.6706 |
|
- Rewards/margins: 0.0734 |
|
- Logps/rejected: -317.2082 |
|
- Logps/chosen: -335.1042 |
|
- Logits/rejected: -1.2523 |
|
- Logits/chosen: -1.1794 |
|
|
|
## 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: 4 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 8 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 256 |
|
- 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 | |
|
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.6762 | 0.4184 | 100 | 0.6753 | 0.0546 | 0.0122 | 0.6627 | 0.0424 | -312.8761 | -333.8717 | -1.2638 | -1.1861 | |
|
| 0.6604 | 0.8368 | 200 | 0.6640 | 0.0423 | -0.0311 | 0.6706 | 0.0734 | -317.2082 | -335.1042 | -1.2523 | -1.1794 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.1 |
|
- Pytorch 2.1.2+cu121 |
|
- Datasets 2.21.0 |
|
- Tokenizers 0.19.1 |
|
|
