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-dpo-full-ultrabin-high-curriculum
results: []
zephyr-7b-dpo-full-ultrabin-high-curriculum
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: 0.5058
- Rewards/chosen: -1.0085
- Rewards/rejected: -1.9531
- Rewards/accuracies: 0.7617
- Rewards/margins: 0.9446
- Logps/rejected: -457.9681
- Logps/chosen: -363.4786
- Logits/rejected: 2.0914
- Logits/chosen: 1.3032
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: 8
- seed: 55
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 64
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6557 | 0.1046 | 50 | 0.6479 | -0.0110 | -0.1284 | 0.7070 | 0.1174 | -275.5045 | -263.7303 | -2.6116 | -2.6493 |
| 0.5639 | 0.2092 | 100 | 0.5652 | -0.6096 | -1.2098 | 0.7383 | 0.6002 | -383.6375 | -323.5883 | -0.5618 | -0.9012 |
| 0.5323 | 0.3138 | 150 | 0.5405 | -0.5498 | -1.2901 | 0.7617 | 0.7402 | -391.6696 | -317.6140 | 0.4792 | -0.0900 |
| 0.536 | 0.4184 | 200 | 0.5354 | -0.6382 | -1.3831 | 0.7656 | 0.7449 | -400.9734 | -326.4470 | 0.6525 | -0.0195 |
| 0.5163 | 0.5230 | 250 | 0.5185 | -1.1124 | -1.9604 | 0.7383 | 0.8480 | -458.7008 | -373.8662 | 2.4883 | 1.7620 |
| 0.5018 | 0.6276 | 300 | 0.5108 | -0.9326 | -1.8124 | 0.7578 | 0.8798 | -443.9044 | -355.8924 | 2.0905 | 1.3198 |
| 0.4999 | 0.7322 | 350 | 0.5094 | -1.0356 | -1.9491 | 0.7461 | 0.9135 | -457.5764 | -366.1917 | 2.0403 | 1.2353 |
| 0.4966 | 0.8368 | 400 | 0.5066 | -0.9929 | -1.9227 | 0.7578 | 0.9298 | -454.9321 | -361.9198 | 2.0226 | 1.2642 |
| 0.5198 | 0.9414 | 450 | 0.5057 | -1.0106 | -1.9562 | 0.7617 | 0.9455 | -458.2784 | -363.6942 | 2.1024 | 1.3120 |
Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1