---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: hishab/titulm-1b-bn-v1
datasets:
- crosssum
model-index:
- name: llm_bn_sum
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# llm_bn_sum

This model is a fine-tuned version of [hishab/titulm-1b-bn-v1](https://huggingface.co/hishab/titulm-1b-bn-v1) on the crosssum dataset.
It achieves the following results on the evaluation set:
- Loss: nan

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0           | 1.0   | 2023  | nan             |
| 0.0           | 2.0   | 4046  | nan             |
| 0.0           | 3.0   | 6069  | nan             |
| 0.0           | 4.0   | 8092  | nan             |
| 0.0           | 5.0   | 10115 | nan             |
| 0.0           | 6.0   | 12138 | nan             |
| 0.0           | 7.0   | 14161 | nan             |
| 0.0           | 8.0   | 16184 | nan             |
| 0.0           | 9.0   | 18207 | nan             |
| 0.0           | 10.0  | 20230 | nan             |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.1.0
- Tokenizers 0.15.2