---
library_name: transformers
license: apache-2.0
base_model: allenai/OLMo-7B-hf
tags:
- generated_from_trainer
model-index:
- name: OLmo-chebl_domain_adaption
  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. -->

# OLmo-chebl_domain_adaption

This model is a fine-tuned version of [allenai/OLMo-7B-hf](https://huggingface.co/allenai/OLMo-7B-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3516
- Model Preparation Time: 0.0043

## 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: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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: cosine
- lr_scheduler_warmup_steps: 0.05
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Model Preparation Time |
|:-------------:|:------:|:----:|:---------------:|:----------------------:|
| 6.3473        | 0.0710 | 50   | 6.2448          | 0.0043                 |
| 4.8393        | 0.1419 | 100  | 4.6801          | 0.0043                 |
| 3.2501        | 0.2129 | 150  | 3.2598          | 0.0043                 |
| 2.7432        | 0.2839 | 200  | 2.8011          | 0.0043                 |
| 2.4688        | 0.3549 | 250  | 2.4233          | 0.0043                 |
| 2.2724        | 0.4258 | 300  | 2.2580          | 0.0043                 |
| 2.1390        | 0.4968 | 350  | 2.1196          | 0.0043                 |
| 1.9718        | 0.5678 | 400  | 2.0202          | 0.0043                 |
| 1.8871        | 0.6388 | 450  | 1.9191          | 0.0043                 |
| 1.8967        | 0.7097 | 500  | 1.8318          | 0.0043                 |
| 1.7147        | 0.7807 | 550  | 1.7578          | 0.0043                 |
| 1.7526        | 0.8517 | 600  | 1.7118          | 0.0043                 |
| 1.6391        | 0.9226 | 650  | 1.6556          | 0.0043                 |
| 1.5693        | 0.9936 | 700  | 1.6024          | 0.0043                 |
| 1.4872        | 1.0639 | 750  | 1.5712          | 0.0043                 |
| 1.4543        | 1.1348 | 800  | 1.5263          | 0.0043                 |
| 1.4862        | 1.2058 | 850  | 1.4896          | 0.0043                 |
| 1.3994        | 1.2768 | 900  | 1.4550          | 0.0043                 |
| 1.2903        | 1.3478 | 950  | 1.4253          | 0.0043                 |
| 1.2909        | 1.4187 | 1000 | 1.4001          | 0.0043                 |
| 1.2847        | 1.4897 | 1050 | 1.3812          | 0.0043                 |
| 1.2536        | 1.5607 | 1100 | 1.3681          | 0.0043                 |
| 1.2414        | 1.6317 | 1150 | 1.3592          | 0.0043                 |
| 1.3003        | 1.7026 | 1200 | 1.3541          | 0.0043                 |
| 1.3042        | 1.7736 | 1250 | 1.3523          | 0.0043                 |
| 1.3176        | 1.8446 | 1300 | 1.3517          | 0.0043                 |
| 1.2306        | 1.9155 | 1350 | 1.3516          | 0.0043                 |
| 1.2716        | 1.9865 | 1400 | 1.3515          | 0.0043                 |
| 1.3064        | 2.0    | 1410 | 1.3516          | 0.0043                 |


### Framework versions

- Transformers 5.9.0
- Pytorch 2.8.0+cu128
- Datasets 4.8.5
- Tokenizers 0.22.2