---
tags:
- generated_from_trainer
model-index:
- name: tinyllama-1.1B-intermediate-step-715k-1.5T-dpo-lora-v2
  results: []
---

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# tinyllama-1.1B-intermediate-step-715k-1.5T-dpo-lora-v2

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5376
- Rewards/chosen: 0.2709
- Rewards/rejected: -0.4042
- Rewards/accuracies: 0.7230
- Rewards/margins: 0.6751
- Logps/rejected: -319.7874
- Logps/chosen: -399.9467
- Logits/rejected: -4.0164
- Logits/chosen: -4.1297

## 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: 0.0001
- 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5681        | 1.0   | 968  | 0.5376          | 0.2709         | -0.4042          | 0.7230             | 0.6751          | -319.7874      | -399.9467    | -4.0164         | -4.1297       |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1