metadata
license: apache-2.0
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: openbmb/Eurus-7b-sft
model-index:
- name: eurus-7b-cost-UI-UC-5e-7
results: []
eurus-7b-cost-UI-UC-5e-7
This model is a fine-tuned version of openbmb/Eurus-7b-sft on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7012
- Rewards/chosen: -0.8455
- Rewards/rejected: -0.9219
- Rewards/accuracies: 0.5507
- Rewards/margins: 0.0764
- Rewards/margins Max: 0.9500
- Rewards/margins Min: -0.7111
- Rewards/margins Std: 0.5453
- Logps/rejected: -358.1681
- Logps/chosen: -363.9157
- Logits/rejected: -2.1126
- Logits/chosen: -2.2173
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: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.296 | 1.0 | 2616 | 0.7012 | -0.8455 | -0.9219 | 0.5507 | 0.0764 | 0.9500 | -0.7111 | 0.5453 | -358.1681 | -363.9157 | -2.1126 | -2.2173 |
Framework versions
- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2