---
base_model: vilsonrodrigues/falcon-7b-instruct-sharded
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: falcon7binstruct_fine_tunning_PPF_english_conversations_2
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/rafael-torrestimal-Personal/huggingface/runs/xvywvoas)
# falcon7binstruct_fine_tunning_PPF_english_conversations_2

This model is a fine-tuned version of [vilsonrodrigues/falcon-7b-instruct-sharded](https://huggingface.co./vilsonrodrigues/falcon-7b-instruct-sharded) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3611

## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 250
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.4114        | 0.0667 | 10   | 0.8542          |
| 0.715         | 0.1333 | 20   | 0.6213          |
| 0.5797        | 0.2    | 30   | 0.5449          |
| 0.5136        | 0.2667 | 40   | 0.5064          |
| 0.4744        | 0.3333 | 50   | 0.4767          |
| 0.4719        | 0.4    | 60   | 0.4568          |
| 0.4437        | 0.4667 | 70   | 0.4366          |
| 0.4396        | 0.5333 | 80   | 0.4302          |
| 0.4078        | 0.6    | 90   | 0.4168          |
| 0.4571        | 0.6667 | 100  | 0.4099          |
| 0.3773        | 0.7333 | 110  | 0.4028          |
| 0.3879        | 0.8    | 120  | 0.3917          |
| 0.3965        | 0.8667 | 130  | 0.3832          |
| 0.3747        | 0.9333 | 140  | 0.3783          |
| 0.3626        | 1.0    | 150  | 0.3742          |
| 0.2861        | 1.0667 | 160  | 0.3721          |
| 0.2816        | 1.1333 | 170  | 0.3744          |
| 0.3017        | 1.2    | 180  | 0.3737          |
| 0.2946        | 1.2667 | 190  | 0.3687          |
| 0.3064        | 1.3333 | 200  | 0.3672          |
| 0.3031        | 1.4    | 210  | 0.3651          |
| 0.2959        | 1.4667 | 220  | 0.3628          |
| 0.2854        | 1.5333 | 230  | 0.3615          |
| 0.2972        | 1.6    | 240  | 0.3612          |
| 0.291         | 1.6667 | 250  | 0.3611          |


### Framework versions

- PEFT 0.11.2.dev0
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1