---
library_name: transformers
license: apache-2.0
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- data/ui_coding
model-index:
- name: tinyllama-1.1b-chat-v1.0-ui-coding-dpo-2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# tinyllama-1.1b-chat-v1.0-ui-coding-dpo-2

This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on the data/ui_coding dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0431
- Rewards/chosen: -3.0407
- Rewards/rejected: -9.3996
- Rewards/accuracies: 0.9375
- Rewards/margins: 6.3590
- Logps/rejected: -1448.7983
- Logps/chosen: -747.9731
- Logits/rejected: -2.8938
- Logits/chosen: -2.7966

## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2

### Training results



### Framework versions

- Transformers 4.44.1
- Pytorch 2.1.2+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1