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

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# 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