Hyponatremia_L3_100steps_1e6rate_01beta_DPO
This model is a fine-tuned version of tsavage68/Hyponatremia_L3_450steps_1e7rate_SFT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
- Rewards/chosen: 0.9749
- Rewards/rejected: -9.2781
- Rewards/accuracies: 1.0
- Rewards/margins: 10.2530
- Logps/rejected: -132.2077
- Logps/chosen: -12.9677
- Logits/rejected: -1.0433
- Logits/chosen: -0.9670
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: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0005 | 0.2667 | 50 | 0.0003 | 0.8841 | -7.2237 | 1.0 | 8.1078 | -111.6638 | -13.8759 | -1.0293 | -0.9511 |
| 0.0 | 0.5333 | 100 | 0.0000 | 0.9749 | -9.2781 | 1.0 | 10.2530 | -132.2077 | -12.9677 | -1.0433 | -0.9670 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.0.0+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1
- Downloads last month
- 2
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for tsavage68/Hyponatremia_L3_100steps_1e6rate_01beta_DPO
Base model
meta-llama/Meta-Llama-3-8B-Instruct
Finetuned
this model