Downloads · 30 days
6
12% of all-time downloads
zephyr-7b-dpo-lora
PrasannSinghal/zephyr-7b-dpo-lora
zephyr-7b-dpo-lora is a text generation model from PrasannSinghal. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
52
Public
Repo size
269 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors268 MB · 99%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- llama
- Access
- Public
- Created
- Dec 4, 2023
- Updated
- Dec 5, 2023
- SHA
- 9e1ad44a
Try a prompt
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. -->
zephyr-7b-dpo-lora
This model is a fine-tuned version of allenai/tulu-2-7b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6551
- Rewards/chosen: -0.0635
- Rewards/rejected: -0.1612
- Rewards/accuracies: 0.6905
- Rewards/margins: 0.0978
- Logps/rejected: -241.7965
- Logps/chosen: -271.5237
- Logits/rejected: -1.4412
- Logits/chosen: -1.2746
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: 6
- gradient_accumulation_steps: 8
- total_train_batch_size: 96
- total_eval_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6812 | 1.0 | 645 | 0.6832 | -0.0153 | -0.0425 | 0.6190 | 0.0271 | -240.6086 | -271.0424 | -1.4556 | -1.2853 |
| 0.667 | 2.0 | 1291 | 0.6636 | -0.0473 | -0.1169 | 0.6518 | 0.0695 | -241.3527 | -271.3625 | -1.4457 | -1.2786 |
| 0.6518 | 3.0 | 1935 | 0.6551 | -0.0635 | -0.1612 | 0.6905 | 0.0978 | -241.7965 | -271.5237 | -1.4412 | -1.2746 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- Created
- Dec 4, 2023
- Updated
- Dec 5, 2023