---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: falcon-7b-ift-rm-22
  results: []
library_name: peft
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# falcon-7b-ift-rm-22

This model is a fine-tuned version of [HuggingFaceH4/falcon-7b-ift](https://huggingface.co/HuggingFaceH4/falcon-7b-ift) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6089
- Accuracy: 0.6533

## 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: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5935        | 1.0   | 2197 | 0.6089          | 0.6533   |


### Framework versions

- Transformers 4.30.1
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3