metadata
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: zephyr-7b-mypo3_sim-full-beta10.0-lr3e-6
results: []
zephyr-7b-mypo3_sim-full-beta10.0-lr3e-6
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:
- Loss: 1.4142
- Rewards/chosen: 0.0604
- Rewards/rejected: -0.4122
- Rewards/accuracies: 0.6964
- Rewards/margins: 0.4726
- Logps/rejected: -1.1689
- Logps/chosen: -0.9729
- Logits/rejected: -2.6862
- Logits/chosen: -2.7202
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: 3e-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 16
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.4386 | 0.4187 | 100 | 1.4398 | 0.1258 | -0.3325 | 0.6667 | 0.4584 | -1.1609 | -0.9664 | -2.8124 | -2.8394 |
| 1.3977 | 0.8375 | 200 | 1.4170 | 0.0426 | -0.4297 | 0.6885 | 0.4723 | -1.1706 | -0.9747 | -2.6767 | -2.7110 |
Framework versions
- Transformers 4.43.1
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1