zephyr-dpo-timedial-selfgen-mix2
This model is a fine-tuned version of EllieS/zephyr-dpo-timedial-selfgen on the EllieS/timedial_dpo dataset. It achieves the following results on the evaluation set:
- Logits/chosen: -2.8807
- Logits/rejected: -2.8679
- Logps/chosen: -6.8403
- Logps/rejected: -132.2824
- Loss: 0.2588
- Rewards/accuracies: 1.0
- Rewards/chosen: 0.2087
- Rewards/margins: 1.2287
- Rewards/rejected: -1.0200
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-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- 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 | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.4825 | 0.35 | 100 | -2.9715 | -2.9751 | -4.6766 | -60.5070 | 0.4632 | 1.0 | 0.2303 | 0.5325 | -0.3022 |
| 0.2786 | 0.69 | 200 | -2.8807 | -2.8679 | -6.8403 | -132.2824 | 0.2588 | 1.0 | 0.2087 | 1.2287 | -1.0200 |
Framework versions
- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for EllieS/zephyr-dpo-timedial-selfgen-mix2
Base model
mistralai/Mistral-7B-v0.1
Finetuned
alignment-handbook/zephyr-7b-sft-full