metadata
license: apache-2.0
library_name: peft
tags:
- trl
- orpo
- unsloth
- generated_from_trainer
base_model: cognitivecomputations/dolphin-2.9.1-yi-1.5-9b
model-index:
- name: Gaston_dolphin-2.9.1-yi-1.5-9b
results: []
Gaston_dolphin-2.9.1-yi-1.5-9b
This model is a fine-tuned version of cognitivecomputations/dolphin-2.9.1-yi-1.5-9b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4290
- Rewards/chosen: -0.0153
- Rewards/rejected: -0.2895
- Rewards/accuracies: 0.9985
- Rewards/margins: 0.2742
- Logps/rejected: -2.8952
- Logps/chosen: -0.1528
- Logits/rejected: -0.1534
- Logits/chosen: 0.0002
- Nll Loss: 0.4278
- Log Odds Ratio: -0.0124
- Log Odds Chosen: 4.8981
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: 8e-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 | Nll Loss | Log Odds Ratio | Log Odds Chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.5193 | 0.1005 | 103 | 0.5159 | -0.0187 | -0.0825 | 0.9971 | 0.0638 | -0.8248 | -0.1866 | 0.1547 | 0.1467 | 0.5004 | -0.1555 | 2.0327 |
| 0.4988 | 0.2009 | 206 | 0.4724 | -0.0170 | -0.1413 | 0.9985 | 0.1243 | -1.4130 | -0.1703 | 0.0154 | -0.0134 | 0.4661 | -0.0627 | 3.0432 |
| 0.4375 | 0.3014 | 309 | 0.4577 | -0.0162 | -0.1628 | 0.9985 | 0.1466 | -1.6283 | -0.1622 | 0.1372 | 0.1328 | 0.4530 | -0.0467 | 3.3955 |
| 0.4738 | 0.4019 | 412 | 0.4463 | -0.0160 | -0.2198 | 0.9985 | 0.2038 | -2.1980 | -0.1596 | -0.0220 | 0.0649 | 0.4438 | -0.0250 | 4.0928 |
| 0.4893 | 0.5023 | 515 | 0.4406 | -0.0159 | -0.2499 | 0.9985 | 0.2341 | -2.4993 | -0.1585 | -0.0720 | 0.0474 | 0.4388 | -0.0185 | 4.4389 |
| 0.4565 | 0.6028 | 618 | 0.4357 | -0.0157 | -0.3289 | 0.9985 | 0.3133 | -3.2895 | -0.1566 | -0.1392 | 0.0470 | 0.4347 | -0.0093 | 5.2916 |
| 0.4069 | 0.7032 | 721 | 0.4324 | -0.0154 | -0.3096 | 0.9985 | 0.2942 | -3.0962 | -0.1544 | -0.1833 | -0.0044 | 0.4313 | -0.0107 | 5.1028 |
| 0.4297 | 0.8037 | 824 | 0.4299 | -0.0153 | -0.2854 | 0.9985 | 0.2701 | -2.8536 | -0.1528 | -0.1911 | -0.0397 | 0.4286 | -0.0129 | 4.8536 |
| 0.4437 | 0.9042 | 927 | 0.4290 | -0.0153 | -0.2895 | 0.9985 | 0.2742 | -2.8952 | -0.1528 | -0.1534 | 0.0002 | 0.4278 | -0.0124 | 4.8981 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1