---
base_model: Unbabel/TowerInstruct-7B-v0.2
library_name: peft
license: cc-by-nc-4.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: BioTowerInstruct-7b-v0.2-run09
  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. -->

# BioTowerInstruct-7b-v0.2-run09

This model is a fine-tuned version of [Unbabel/TowerInstruct-7B-v0.2](https://huggingface.co./Unbabel/TowerInstruct-7B-v0.2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3265

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1703        | 0.08  | 30   | 2.0597          |
| 1.7574        | 0.16  | 60   | 1.8526          |
| 1.5809        | 0.24  | 90   | 1.7084          |
| 1.3437        | 0.32  | 120  | 1.5682          |
| 1.3627        | 0.4   | 150  | 1.5074          |
| 1.2534        | 0.48  | 180  | 1.4496          |
| 1.1732        | 0.56  | 210  | 1.4031          |
| 1.1735        | 0.64  | 240  | 1.3727          |
| 1.1581        | 0.72  | 270  | 1.3522          |
| 1.2024        | 0.8   | 300  | 1.3389          |
| 1.1346        | 0.88  | 330  | 1.3315          |
| 1.0714        | 0.96  | 360  | 1.3265          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1