---
library_name: peft
license: apache-2.0
base_model: allenai/OLMo-2-0425-1B-Instruct
tags:
- base_model:adapter:allenai/OLMo-2-0425-1B-Instruct
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: zeeb
  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. -->

# zeeb

This model is a fine-tuned version of [allenai/OLMo-2-0425-1B-Instruct](https://huggingface.co/allenai/OLMo-2-0425-1B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 11.5331

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.05
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 11.5396       | 0.8421 | 500  | 11.5391         |
| 11.5343       | 1.6838 | 1000 | 11.5341         |
| 11.5332       | 2.5255 | 1500 | 11.5331         |


### Framework versions

- PEFT 0.19.1
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2