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---
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/44visaov)
# 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: 0.3807
## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 1.4574 | 0.1325 | 10 | 0.8588 |
| 0.7214 | 0.2649 | 20 | 0.6192 |
| 0.6047 | 0.3974 | 30 | 0.5418 |
| 0.5232 | 0.5298 | 40 | 0.4877 |
| 0.4663 | 0.6623 | 50 | 0.4642 |
| 0.4592 | 0.7947 | 60 | 0.4437 |
| 0.4663 | 0.9272 | 70 | 0.4345 |
| 0.4386 | 1.0596 | 80 | 0.4169 |
| 0.34 | 1.1921 | 90 | 0.4198 |
| 0.3441 | 1.3245 | 100 | 0.4103 |
| 0.3459 | 1.4570 | 110 | 0.3999 |
| 0.3322 | 1.5894 | 120 | 0.3963 |
| 0.3287 | 1.7219 | 130 | 0.3871 |
| 0.3212 | 1.8543 | 140 | 0.3783 |
| 0.2906 | 1.9868 | 150 | 0.3788 |
| 0.2526 | 2.1192 | 160 | 0.3839 |
| 0.2417 | 2.2517 | 170 | 0.3903 |
| 0.2451 | 2.3841 | 180 | 0.3880 |
| 0.2492 | 2.5166 | 190 | 0.3896 |
| 0.2404 | 2.6490 | 200 | 0.3854 |
| 0.2348 | 2.7815 | 210 | 0.3822 |
| 0.2375 | 2.9139 | 220 | 0.3810 |
| 0.2264 | 3.0464 | 230 | 0.3806 |
| 0.2141 | 3.1788 | 240 | 0.3806 |
| 0.2069 | 3.3113 | 250 | 0.3807 |
### Framework versions
- PEFT 0.11.2.dev0
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |