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---
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: allenai/tulu-2-13b
model-index:
- name: tulu2-13b-cost-tulumix-1e-6
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. -->
# tulu2-13b-cost-tulumix-1e-6
This model is a fine-tuned version of [allenai/tulu-2-13b](https://huggingface.co/allenai/tulu-2-13b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6891
- Rewards/chosen: 0.0068
- Rewards/rejected: -0.0036
- Rewards/accuracies: 0.5570
- Rewards/margins: 0.0103
- Rewards/margins Max: 0.1265
- Rewards/margins Min: -0.1089
- Rewards/margins Std: 0.0783
- Logps/rejected: -316.0208
- Logps/chosen: -324.2853
- Logits/rejected: -0.9127
- Logits/chosen: -1.0350
## 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: 1e-06
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- total_eval_batch_size: 16
- 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 | Rewards/margins Max | Rewards/margins Min | Rewards/margins Std | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6183 | 1.0 | 3174 | 0.6891 | 0.0068 | -0.0036 | 0.5570 | 0.0103 | 0.1265 | -0.1089 | 0.0783 | -316.0208 | -324.2853 | -0.9127 | -1.0350 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2 |