---
library_name: peft
license: bigscience-bloom-rail-1.0
base_model: bigscience/bloomz-3b
tags:
- generated_from_trainer
model-index:
- name: bloomz_lora_mn
  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/bilegjargal-minerva-university/capstone-dense-seq/runs/nnw937sn)
# bloomz_lora_mn

This model is a fine-tuned version of [bigscience/bloomz-3b](https://huggingface.co/bigscience/bloomz-3b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4090

## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.938         | 0.1820 | 1000 | 2.9015          |
| 2.6901        | 0.3641 | 2000 | 2.7353          |
| 2.5543        | 0.5461 | 3000 | 2.5426          |
| 2.4624        | 0.7282 | 4000 | 2.4493          |
| 2.4762        | 0.9102 | 5000 | 2.4090          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.45.0
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.20.3