---
license: apache-2.0
base_model: tiiuae/falcon-7b
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- GAIR/lima
model-index:
- name: falcon-lima
  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-lima

This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on the GAIR/lima dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4276

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 16
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- 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: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0634        | 0.91  | 5    | 1.9126          |
| 1.9281        | 2.0   | 11   | 1.8793          |
| 1.7541        | 2.91  | 16   | 2.2713          |
| 1.5669        | 4.0   | 22   | 2.2287          |
| 1.3976        | 4.91  | 27   | 2.2656          |
| 1.2434        | 6.0   | 33   | 2.3438          |
| 1.1083        | 6.91  | 38   | 2.3551          |
| 1.0215        | 8.0   | 44   | 2.4332          |
| 0.9556        | 8.91  | 49   | 2.4332          |
| 0.9465        | 9.09  | 50   | 2.4276          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.2