metadata
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: MedQA_L3_150steps_1e6rate_03beat_CSFTDPO
results: []
MedQA_L3_150steps_1e6rate_03beat_CSFTDPO
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5020
- Rewards/chosen: -0.9020
- Rewards/rejected: -1.9172
- Rewards/accuracies: 0.7297
- Rewards/margins: 1.0152
- Logps/rejected: -27.7072
- Logps/chosen: -21.2293
- Logits/rejected: -1.0337
- Logits/chosen: -1.0327
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: 150
Training results
Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
---|---|---|---|---|---|---|---|---|---|---|---|
0.7072 | 0.0489 | 50 | 0.6474 | 0.1422 | 0.0242 | 0.6505 | 0.1180 | -21.2360 | -17.7487 | -0.9397 | -0.9391 |
0.6194 | 0.0977 | 100 | 0.5755 | -0.5279 | -1.1917 | 0.6989 | 0.6638 | -25.2888 | -19.9824 | -1.0174 | -1.0166 |
0.5632 | 0.1466 | 150 | 0.5020 | -0.9020 | -1.9172 | 0.7297 | 1.0152 | -27.7072 | -21.2293 | -1.0337 | -1.0327 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.0.0+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1