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---
license: llama3
base_model: tsavage68/MedQA_L3_1000steps_1e6rate_SFT
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: MedQA_L3_300steps_1e6rate_01beta_CSFTDPO
results: []
---
<!-- 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. -->
# MedQA_L3_300steps_1e6rate_01beta_CSFTDPO
This model is a fine-tuned version of [tsavage68/MedQA_L3_1000steps_1e6rate_SFT](https://huggingface.co/tsavage68/MedQA_L3_1000steps_1e6rate_SFT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4661
- Rewards/chosen: 0.6273
- Rewards/rejected: -0.3771
- Rewards/accuracies: 0.7604
- Rewards/margins: 1.0045
- Logps/rejected: -37.6261
- Logps/chosen: -25.0552
- Logits/rejected: -0.8801
- Logits/chosen: -0.8780
## 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-06
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 300
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6869 | 0.0489 | 50 | 0.6696 | -0.2211 | -0.2710 | 0.7253 | 0.0498 | -36.5645 | -33.5400 | -0.7298 | -0.7290 |
| 0.4779 | 0.0977 | 100 | 0.5887 | 1.4526 | 1.0417 | 0.6945 | 0.4109 | -23.4374 | -16.8024 | -0.8047 | -0.8036 |
| 0.5155 | 0.1466 | 150 | 0.4976 | 0.6394 | -0.2000 | 0.7363 | 0.8394 | -35.8551 | -24.9343 | -0.8636 | -0.8617 |
| 0.4245 | 0.1954 | 200 | 0.4924 | 0.0477 | -0.9077 | 0.7648 | 0.9554 | -42.9321 | -30.8513 | -0.8783 | -0.8762 |
| 0.4563 | 0.2443 | 250 | 0.4675 | 0.6549 | -0.3364 | 0.7560 | 0.9913 | -37.2189 | -24.7791 | -0.8807 | -0.8786 |
| 0.3066 | 0.2931 | 300 | 0.4661 | 0.6273 | -0.3771 | 0.7604 | 1.0045 | -37.6261 | -25.0552 | -0.8801 | -0.8780 |
### Framework versions
- Transformers 4.41.1
- Pytorch 2.0.0+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1
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