---
license: apache-2.0
base_model: tiiuae/falcon-7b
tags:
- generated_from_trainer
model-index:
- name: falcon-7b-dpo-lora
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# falcon-7b-dpo-lora

This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6909
- Rewards/chosen: 0.0159
- Rewards/rejected: 0.0096
- Rewards/accuracies: 0.3175
- Rewards/margins: 0.0063
- Logps/rejected: -88.4353
- Logps/chosen: -109.9771
- Logits/rejected: -14.9384
- Logits/chosen: -14.8499

## 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
- num_devices: 8
- gradient_accumulation_steps: 32
- total_train_batch_size: 512
- total_eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6927        | 1.0   | 121  | 0.6929          | 0.0035         | 0.0015           | 0.2857             | 0.0020          | -88.5168       | -110.1007    | -14.9346        | -14.8473      |
| 0.6915        | 2.0   | 242  | 0.6917          | 0.0116         | 0.0071           | 0.3056             | 0.0045          | -88.4605       | -110.0199    | -14.9351        | -14.8469      |
| 0.6913        | 3.0   | 363  | 0.6909          | 0.0159         | 0.0096           | 0.3175             | 0.0063          | -88.4353       | -109.9771    | -14.9384        | -14.8499      |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1