Orpo-Mistral-7B-v0.3-peft-adapter
This model is a fine-tuned version of mistralai/Mistral-7B-v0.3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6129
- Rewards/chosen: -0.0574
- Rewards/rejected: -0.0794
- Rewards/accuracies: 0.6429
- Rewards/margins: 0.0221
- Logps/rejected: -0.7943
- Logps/chosen: -0.5738
- Logits/rejected: -3.2681
- Logits/chosen: -3.2859
- Nll Loss: 0.5465
- Log Odds Ratio: -0.5869
- Log Odds Chosen: 0.4083
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: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0.7914 | 0.2003 | 62 | 0.6937 | -0.0709 | -0.0851 | 0.6071 | 0.0142 | -0.8514 | -0.7090 | -3.2582 | -3.2848 | 0.6333 | -0.6178 | 0.2402 |
0.802 | 0.4006 | 124 | 0.6338 | -0.0607 | -0.0781 | 0.6429 | 0.0174 | -0.7809 | -0.6070 | -3.2744 | -3.2972 | 0.5693 | -0.5966 | 0.3287 |
0.8605 | 0.6010 | 186 | 0.6204 | -0.0586 | -0.0799 | 0.6071 | 0.0213 | -0.7990 | -0.5863 | -3.2692 | -3.2895 | 0.5538 | -0.5899 | 0.3927 |
0.7359 | 0.8013 | 248 | 0.6129 | -0.0574 | -0.0794 | 0.6429 | 0.0221 | -0.7943 | -0.5738 | -3.2681 | -3.2859 | 0.5465 | -0.5869 | 0.4083 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for MuntasirHossain/Orpo-Mistral-7B-v0.3-peft-adapter
Base model
mistralai/Mistral-7B-v0.3