---
license: apache-2.0
base_model: allenai/OLMo-1B
tags:
- generated_from_trainer
model-index:
- name: O0503HMA13
  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. -->

# O0503HMA13

This model is a fine-tuned version of [allenai/OLMo-1B](https://huggingface.co/allenai/OLMo-1B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0210

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5091        | 0.09  | 10   | 0.1979          |
| 0.1633        | 0.18  | 20   | 0.1521          |
| 0.1486        | 0.27  | 30   | 0.1660          |
| 0.1543        | 0.36  | 40   | 0.1555          |
| 0.1517        | 0.45  | 50   | 0.1541          |
| 0.1543        | 0.54  | 60   | 0.1533          |
| 0.1539        | 0.63  | 70   | 0.1473          |
| 0.1499        | 0.73  | 80   | 0.1613          |
| 0.148         | 0.82  | 90   | 0.1534          |
| 0.1501        | 0.91  | 100  | 0.1512          |
| 0.1503        | 1.0   | 110  | 0.1350          |
| 0.1871        | 1.09  | 120  | 0.1439          |
| 0.2073        | 1.18  | 130  | 0.4458          |
| 0.3984        | 1.27  | 140  | 0.2298          |
| 0.4015        | 1.36  | 150  | 0.2193          |
| 0.1247        | 1.45  | 160  | 0.0709          |
| 0.0752        | 1.54  | 170  | 0.0581          |
| 0.1024        | 1.63  | 180  | 0.0806          |
| 0.0698        | 1.72  | 190  | 0.0599          |
| 0.0451        | 1.81  | 200  | 0.0411          |
| 0.0325        | 1.9   | 210  | 0.0290          |
| 0.0232        | 1.99  | 220  | 0.0242          |
| 0.0337        | 2.08  | 230  | 0.0261          |
| 0.0278        | 2.18  | 240  | 0.0257          |
| 0.0207        | 2.27  | 250  | 0.0231          |
| 0.0259        | 2.36  | 260  | 0.0226          |
| 0.0219        | 2.45  | 270  | 0.0224          |
| 0.0198        | 2.54  | 280  | 0.0219          |
| 0.024         | 2.63  | 290  | 0.0214          |
| 0.0213        | 2.72  | 300  | 0.0214          |
| 0.0207        | 2.81  | 310  | 0.0212          |
| 0.0225        | 2.9   | 320  | 0.0211          |
| 0.024         | 2.99  | 330  | 0.0210          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.0