Downloads · 30 days
10
26% of all-time downloads
zephyr-7b-lora-adapter-dpo-dibt-v0
plaguss/zephyr-7b-lora-adapter-dpo-dibt-v0
zephyr-7b-lora-adapter-dpo-dibt-v0 is a machine learning model from plaguss. 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. --
All-time downloads
39
Public
Repo size
168 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors83.9 MB · 98%
At a glance
- Library
- peft
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- Mar 6, 2024
- Updated
- Mar 11, 2024
- SHA
- cbf359d3
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-lora-dpo-dibt-v0
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the argilla/10k_prompts_dpo dataset. It achieves the following results on the evaluation set:
- Loss: 0.1666
- Rewards/chosen: -0.7428
- Rewards/rejected: -5.5139
- Rewards/accuracies: 0.9375
- Rewards/margins: 4.7711
- Logps/rejected: -387.5656
- Logps/chosen: -341.2073
- Logits/rejected: -2.1864
- Logits/chosen: -2.2314
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-05
- train_batch_size: 4
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6028 | 0.19 | 20 | 0.5286 | 0.8789 | 0.4471 | 0.8125 | 0.4318 | -327.9556 | -324.9910 | -2.6143 | -2.6401 |
| 0.3363 | 0.39 | 40 | 0.3232 | 0.5215 | -1.1097 | 0.8594 | 1.6312 | -343.5236 | -328.5651 | -2.5076 | -2.5352 |
| 0.2458 | 0.58 | 60 | 0.2501 | 0.5738 | -1.8685 | 0.9115 | 2.4423 | -351.1114 | -328.0413 | -2.5602 | -2.5924 |
| 0.2116 | 0.78 | 80 | 0.1991 | -0.6755 | -3.8274 | 0.9167 | 3.1519 | -370.7006 | -340.5351 | -2.3129 | -2.3427 |
| 0.1386 | 0.97 | 100 | 0.2002 | 0.2920 | -3.0192 | 0.9375 | 3.3111 | -362.6181 | -330.8600 | -2.3132 | -2.3535 |
| 0.0458 | 1.17 | 120 | 0.1748 | -1.3802 | -5.8772 | 0.9479 | 4.4969 | -391.1983 | -347.5820 | -2.2290 | -2.2717 |
| 0.0426 | 1.36 | 140 | 0.1755 | -0.0635 | -4.3090 | 0.9375 | 4.2455 | -375.5160 | -334.4143 | -2.1959 | -2.2403 |
| 0.029 | 1.55 | 160 | 0.1692 | -0.7990 | -5.4881 | 0.9375 | 4.6891 | -387.3076 | -341.7697 | -2.1893 | -2.2329 |
| 0.0676 | 1.75 | 180 | 0.1676 | -0.6944 | -5.4513 | 0.9375 | 4.7569 | -386.9397 | -340.7238 | -2.1864 | -2.2314 |
| 0.0517 | 1.94 | 200 | 0.1666 | -0.7428 | -5.5139 | 0.9375 | 4.7711 | -387.5656 | -341.2073 | -2.1864 | -2.2314 |
Framework versions
- PEFT 0.8.2
- Transformers 4.38.0
- Pytorch 2.1.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2
- Library
- peft
- Type
- mistral
- License
- apache-2.0
- Created
- Mar 6, 2024
- Updated
- Mar 11, 2024