metadata
license: other
base_model: HuggingFaceH4/zephyr-7b-gemma-sft-v0.1
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-gemma-dpo
results: []
zephyr-7b-gemma-dpo
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-gemma-sft-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4809
- Rewards/chosen: -5.0939
- Rewards/rejected: -6.8547
- Rewards/accuracies: 0.7083
- Rewards/margins: 1.7608
- Logps/rejected: -499.0457
- Logps/chosen: -464.6122
- Logits/rejected: 79.6874
- Logits/chosen: 85.3947
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: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.1404 | 1.8957 | 100 | 0.4809 | -5.0939 | -6.8547 | 0.7083 | 1.7608 | -499.0457 | -464.6122 | 79.6874 | 85.3947 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1