500STEPS_01beta_DPO_Meditron7B
This model is a fine-tuned version of epfl-llm/meditron-7b on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.6910
- eval_runtime: 328.325
- eval_samples_per_second: 1.386
- eval_steps_per_second: 1.386
- eval_rewards/chosen: 0.0001
- eval_rewards/rejected: -0.0042
- eval_rewards/accuracies: 0.5121
- eval_rewards/margins: 0.0044
- eval_logps/rejected: -27.8358
- eval_logps/chosen: -26.4800
- eval_logits/rejected: -0.6115
- eval_logits/chosen: -0.6114
- epoch: 0.78
- step: 400
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: 500
Framework versions
- Transformers 4.37.2
- Pytorch 2.0.0+cu117
- Datasets 2.17.0
- Tokenizers 0.15.1
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