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nash_rank4_all_iter_2
YYYYYYibo/nash_rank4_all_iter_2
nash_rank4_all_iter_2 is a machine learning model from YYYYYYibo. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- May 4, 2024
- Updated
- May 4, 2024
- SHA
- 3dca55e3
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
nash_rank4_all_iter_2
This model is a fine-tuned version of YYYYYYibo/nash_dpo_iter_1 on the updated and the original datasets. It achieves the following results on the evaluation set:
- Loss: 0.6302
- Rewards/chosen: -0.4992
- Rewards/rejected: -0.6823
- Rewards/accuracies: 0.6440
- Rewards/margins: 0.1830
- Logps/rejected: -358.0623
- Logps/chosen: -348.3269
- Logits/rejected: -2.1431
- Logits/chosen: -2.2728
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
- num_devices: 4
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- total_eval_batch_size: 8
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.635 | 0.51 | 100 | 0.6302 | -0.4992 | -0.6823 | 0.6440 | 0.1830 | -358.0623 | -348.3269 | -2.1431 | -2.2728 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2
- Library
- peft
- Type
- mistral
- License
- apache-2.0
- Created
- May 4, 2024
- Updated
- May 4, 2024