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Sheared-LLaMA-1.3B-sft-lora-merged-dpo-lora
SebastianSchramm/Sheared-LLaMA-1.3B-sft-lora-merged-dpo-lora
Sheared-LLaMA-1.3B-sft-lora-merged-dpo-lora is a text generation model from SebastianSchramm. 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. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- llama
- Access
- Public
- Created
- Nov 21, 2023
- Updated
- Nov 23, 2023
- SHA
- 6238a287
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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. -->
Sheared-LLaMA-1.3B-sft-lora-merged-dpo-lora
This model is a fine-tuned version of SebastianSchramm/Sheared-LLaMA-1.3B-sft-lora-merged on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5420
- Rewards/chosen: 0.1616
- Rewards/rejected: -0.5054
- Rewards/accuracies: 0.7235
- Rewards/margins: 0.6671
- Logps/rejected: -310.8146
- Logps/chosen: -390.9498
- Logits/rejected: 1.5247
- Logits/chosen: 1.9232
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 32
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 2905
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6903 | 0.1 | 100 | 0.6886 | 0.0199 | 0.0096 | 0.5550 | 0.0103 | -305.6642 | -392.3674 | 1.7053 | 2.1440 |
| 0.6517 | 0.21 | 200 | 0.6528 | 0.1804 | 0.0815 | 0.6450 | 0.0989 | -304.9448 | -390.7620 | 1.6923 | 2.1313 |
| 0.6324 | 0.31 | 300 | 0.6121 | 0.2511 | 0.0019 | 0.6695 | 0.2492 | -305.7412 | -390.0551 | 1.6578 | 2.0913 |
| 0.5872 | 0.41 | 400 | 0.5910 | 0.2076 | -0.1612 | 0.6845 | 0.3688 | -307.3726 | -390.4905 | 1.6514 | 2.0758 |
| 0.5861 | 0.52 | 500 | 0.5803 | 0.1840 | -0.2505 | 0.6925 | 0.4345 | -308.2649 | -390.7263 | 1.6531 | 2.0720 |
| 0.5738 | 0.62 | 600 | 0.5745 | 0.2016 | -0.2704 | 0.6890 | 0.4720 | -308.4646 | -390.5502 | 1.6548 | 2.0712 |
| 0.5638 | 0.72 | 700 | 0.5672 | 0.1923 | -0.3135 | 0.6975 | 0.5058 | -308.8952 | -390.6433 | 1.6514 | 2.0752 |
| 0.6039 | 0.83 | 800 | 0.5637 | 0.1706 | -0.3437 | 0.6995 | 0.5142 | -309.1969 | -390.8604 | 1.6458 | 2.0656 |
| 0.5981 | 0.93 | 900 | 0.5608 | 0.1821 | -0.3513 | 0.7080 | 0.5334 | -309.2732 | -390.7452 | 1.6138 | 2.0300 |
| 0.552 | 1.03 | 1000 | 0.5570 | 0.1276 | -0.4321 | 0.7095 | 0.5597 | -310.0816 | -391.2901 | 1.6076 | 2.0250 |
| 0.5507 | 1.14 | 1100 | 0.5565 | 0.1445 | -0.4121 | 0.7130 | 0.5566 | -309.8816 | -391.1214 | 1.5997 | 2.0176 |
| 0.5564 | 1.24 | 1200 | 0.5531 | 0.1479 | -0.4472 | 0.7130 | 0.5951 | -310.2328 | -391.0874 | 1.5845 | 2.0027 |
| 0.5619 | 1.34 | 1300 | 0.5532 | 0.1715 | -0.4064 | 0.7155 | 0.5779 | -309.8241 | -390.8512 | 1.5804 | 1.9939 |
| 0.5621 | 1.45 | 1400 | 0.5523 | 0.2002 | -0.3671 | 0.7150 | 0.5673 | -309.4312 | -390.5642 | 1.5934 | 2.0072 |
| 0.56 | 1.55 | 1500 | 0.5498 | 0.1680 | -0.4310 | 0.7205 | 0.5991 | -310.0704 | -390.8858 | 1.5743 | 1.9812 |
| 0.5531 | 1.65 | 1600 | 0.5469 | 0.1491 | -0.4793 | 0.7185 | 0.6284 | -310.5534 | -391.0749 | 1.5568 | 1.9653 |
| 0.5218 | 1.76 | 1700 | 0.5467 | 0.1834 | -0.4315 | 0.7205 | 0.6149 | -310.0752 | -390.7322 | 1.5731 | 1.9781 |
| 0.543 | 1.86 | 1800 | 0.5447 | 0.1430 | -0.5009 | 0.7215 | 0.6439 | -310.7689 | -391.1362 | 1.5700 | 1.9751 |
| 0.529 | 1.96 | 1900 | 0.5445 | 0.1667 | -0.4695 | 0.7215 | 0.6361 | -310.4550 | -390.8997 | 1.5571 | 1.9625 |
| 0.5312 | 2.07 | 2000 | 0.5447 | 0.1438 | -0.5149 | 0.7200 | 0.6587 | -310.9095 | -391.1281 | 1.5486 | 1.9504 |
| 0.557 | 2.17 | 2100 | 0.5443 | 0.1455 | -0.5144 | 0.7195 | 0.6600 | -310.9048 | -391.1111 | 1.5426 | 1.9432 |
| 0.5161 | 2.27 | 2200 | 0.5436 | 0.1370 | -0.5410 | 0.7210 | 0.6780 | -311.1705 | -391.1960 | 1.5366 | 1.9349 |
| 0.5543 | 2.38 | 2300 | 0.5436 | 0.2141 | -0.4398 | 0.7225 | 0.6539 | -310.1584 | -390.4249 | 1.5232 | 1.9243 |
| 0.5393 | 2.48 | 2400 | 0.5431 | 0.2152 | -0.4348 | 0.7215 | 0.6500 | -310.1086 | -390.4145 | 1.5262 | 1.9255 |
| 0.55 | 2.58 | 2500 | 0.5426 | 0.1735 | -0.4873 | 0.7255 | 0.6608 | -310.6333 | -390.8309 | 1.5277 | 1.9284 |
| 0.516 | 2.69 | 2600 | 0.5423 | 0.1701 | -0.4904 | 0.7275 | 0.6605 | -310.6644 | -390.8657 | 1.5234 | 1.9238 |
| 0.5132 | 2.79 | 2700 | 0.5420 | 0.1688 | -0.4945 | 0.7245 | 0.6632 | -310.7050 | -390.8787 | 1.5213 | 1.9202 |
| 0.5412 | 2.89 | 2800 | 0.5422 | 0.1669 | -0.4991 | 0.7220 | 0.6660 | -310.7516 | -390.8975 | 1.5223 | 1.9216 |
| 0.5387 | 3.0 | 2900 | 0.5421 | 0.1629 | -0.5025 | 0.7235 | 0.6654 | -310.7856 | -390.9372 | 1.5241 | 1.9217 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- Created
- Nov 21, 2023
- Updated
- Nov 23, 2023