---
library_name: peft
license: apache-2.0
base_model: allenai/OLMo-7B-0724-hf
tags:
- generated_from_trainer
model-index:
- name: simplewiki_baseline
  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. -->

# simplewiki_baseline

This model is a fine-tuned version of [allenai/OLMo-7B-0724-hf](https://huggingface.co/allenai/OLMo-7B-0724-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3323

## 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: 0.002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- optimizer: Use paged_adamw_8bit 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: 1
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.3175        | 0.5378 | 20   | 2.3252          |
| 2.3075        | 1.0538 | 40   | 2.2998          |
| 2.2741        | 1.5916 | 60   | 2.3083          |
| 2.2257        | 2.1076 | 80   | 2.3041          |
| 2.2605        | 2.6454 | 100  | 2.3115          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.49.0
- Pytorch 2.6.0
- Datasets 3.3.2
- Tokenizers 0.21.0