metadata
tags:
- generated_from_trainer
model-index:
- name: tinyllama-1.1B-intermediate-step-715k-1.5T-dpo-lora
results: []
tinyllama-1.1B-intermediate-step-715k-1.5T-dpo-lora
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6877
- Rewards/chosen: 0.0254
- Rewards/rejected: 0.0135
- Rewards/accuracies: 0.5645
- Rewards/margins: 0.0119
- Logps/rejected: -315.6106
- Logps/chosen: -402.4017
- Logits/rejected: -4.0818
- Logits/chosen: -4.1916
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: 5e-07
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 32
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
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 | 1.0 | 968 | 0.6921 | 0.0039 | 0.0011 | 0.5070 | 0.0028 | -315.7343 | -402.6164 | -4.0813 | -4.1913 |
| 0.6904 | 2.0 | 1936 | 0.6884 | 0.0191 | 0.0086 | 0.5570 | 0.0105 | -315.6588 | -402.4643 | -4.0824 | -4.1920 |
| 0.6876 | 3.0 | 2904 | 0.6877 | 0.0254 | 0.0135 | 0.5645 | 0.0119 | -315.6106 | -402.4017 | -4.0818 | -4.1916 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1