metadata
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: 400STEPS_1e7rate_01beta_T5
results: []
400STEPS_1e7rate_01beta_T5
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6483
- Rewards/chosen: -0.0026
- Rewards/rejected: -0.1019
- Rewards/accuracies: 0.6593
- Rewards/margins: 0.0994
- Logps/rejected: -15.7387
- Logps/chosen: -12.9908
- Logits/rejected: -3.1652
- Logits/chosen: -3.1650
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-07
- train_batch_size: 4
- eval_batch_size: 1
- 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: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 400
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6916 | 0.1 | 50 | 0.6908 | 0.0048 | 0.0002 | 0.5670 | 0.0047 | -14.7176 | -12.9168 | -3.1591 | -3.1588 |
| 0.6821 | 0.2 | 100 | 0.6764 | 0.0187 | -0.0159 | 0.6681 | 0.0346 | -14.8782 | -12.7778 | -3.1625 | -3.1622 |
| 0.6647 | 0.29 | 150 | 0.6629 | 0.0225 | -0.0422 | 0.6659 | 0.0648 | -15.1414 | -12.7399 | -3.1625 | -3.1623 |
| 0.6536 | 0.39 | 200 | 0.6552 | 0.0148 | -0.0679 | 0.6505 | 0.0827 | -15.3987 | -12.8175 | -3.1657 | -3.1654 |
| 0.6354 | 0.49 | 250 | 0.6509 | 0.0022 | -0.0909 | 0.6593 | 0.0931 | -15.6282 | -12.9431 | -3.1646 | -3.1643 |
| 0.6468 | 0.59 | 300 | 0.6484 | -0.0022 | -0.1013 | 0.6527 | 0.0991 | -15.7319 | -12.9869 | -3.1653 | -3.1650 |
| 0.6549 | 0.68 | 350 | 0.6481 | -0.0021 | -0.1019 | 0.6571 | 0.0998 | -15.7386 | -12.9865 | -3.1652 | -3.1650 |
| 0.6684 | 0.78 | 400 | 0.6483 | -0.0026 | -0.1019 | 0.6593 | 0.0994 | -15.7387 | -12.9908 | -3.1652 | -3.1650 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.0.0+cu117
- Datasets 2.17.0
- Tokenizers 0.15.1