base_model, library_name, license, tags, model-index
| base_model | library_name | license | tags | model-index | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TinyLlama/TinyLlama-1.1B-Chat-v1.0 | transformers | apache-2.0 |
|
|
TinyLlama-1.1B-IPO-PKU-SafeRLHF
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 18.4083
- Rewards/chosen: -0.3421
- Rewards/rejected: -0.4737
- Rewards/accuracies: 0.7389
- Rewards/margins: 0.1316
- Logps/rejected: -6.7403
- Logps/chosen: -5.4225
- Logits/rejected: -2.2712
- Logits/chosen: -2.4037
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: 4
- eval_batch_size: 4
- 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: 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 24.8672 | 0.0960 | 200 | 24.8184 | -0.0031 | -0.0050 | 0.7069 | 0.0018 | -2.0534 | -2.0334 | -2.7185 | -2.8480 |
| 24.1359 | 0.1920 | 400 | 24.2118 | -0.0132 | -0.0215 | 0.7351 | 0.0083 | -2.2183 | -2.1337 | -2.6542 | -2.7800 |
| 22.6582 | 0.2880 | 600 | 22.9068 | -0.0523 | -0.0760 | 0.7280 | 0.0237 | -2.7638 | -2.5252 | -2.4992 | -2.6281 |
| 21.2405 | 0.3840 | 800 | 19.5980 | -0.2860 | -0.3895 | 0.7207 | 0.1036 | -5.8987 | -4.8616 | -2.3572 | -2.4838 |
| 16.8004 | 0.4800 | 1000 | 18.8829 | -0.3386 | -0.4676 | 0.7299 | 0.1290 | -6.6800 | -5.3883 | -2.2910 | -2.4227 |
| 20.9951 | 0.5760 | 1200 | 18.5470 | -0.3274 | -0.4552 | 0.7343 | 0.1279 | -6.5555 | -5.2756 | -2.2822 | -2.4138 |
| 19.3603 | 0.6719 | 1400 | 18.4526 | -0.3367 | -0.4669 | 0.7367 | 0.1303 | -6.6729 | -5.3688 | -2.2770 | -2.4091 |
| 16.8747 | 0.7679 | 1600 | 18.4182 | -0.3410 | -0.4724 | 0.7383 | 0.1314 | -6.7270 | -5.4120 | -2.2717 | -2.4042 |
| 20.3795 | 0.8639 | 1800 | 18.4132 | -0.3418 | -0.4733 | 0.7370 | 0.1315 | -6.7369 | -5.4201 | -2.2711 | -2.4037 |
| 18.8851 | 0.9599 | 2000 | 18.4097 | -0.3421 | -0.4737 | 0.7381 | 0.1316 | -6.7404 | -5.4228 | -2.2713 | -2.4037 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.11.0+cu130
- Datasets 2.21.0
- Tokenizers 0.19.1