---
license: apache-2.0
base_model: allenai/OLMo-1B
tags:
- generated_from_trainer
model-index:
- name: O0430HMA9
  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. -->

# O0430HMA9

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: 0.0218

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.681         | 0.09  | 10   | 0.1921          |
| 0.1704        | 0.18  | 20   | 0.1533          |
| 0.1507        | 0.27  | 30   | 0.1619          |
| 0.1544        | 0.36  | 40   | 0.1492          |
| 0.1502        | 0.45  | 50   | 0.1504          |
| 0.1515        | 0.54  | 60   | 0.1479          |
| 0.1509        | 0.63  | 70   | 0.1470          |
| 0.1492        | 0.73  | 80   | 0.1537          |
| 0.1475        | 0.82  | 90   | 0.1494          |
| 0.1482        | 0.91  | 100  | 0.1473          |
| 0.1615        | 1.0   | 110  | 0.1788          |
| 0.316         | 1.09  | 120  | 0.3899          |
| 0.1295        | 1.18  | 130  | 0.0776          |
| 0.0766        | 1.27  | 140  | 0.0779          |
| 0.0675        | 1.36  | 150  | 0.0348          |
| 0.1236        | 1.45  | 160  | 0.0590          |
| 0.1126        | 1.54  | 170  | 0.0556          |
| 0.0687        | 1.63  | 180  | 0.0329          |
| 0.142         | 1.72  | 190  | 0.8702          |
| 0.1355        | 1.81  | 200  | 0.1972          |
| 0.0663        | 1.9   | 210  | 0.0354          |
| 0.025         | 1.99  | 220  | 0.0269          |
| 0.0297        | 2.08  | 230  | 0.0285          |
| 0.0251        | 2.18  | 240  | 0.0250          |
| 0.0203        | 2.27  | 250  | 0.0225          |
| 0.0262        | 2.36  | 260  | 0.0242          |
| 0.0211        | 2.45  | 270  | 0.0231          |
| 0.0192        | 2.54  | 280  | 0.0225          |
| 0.0239        | 2.63  | 290  | 0.0222          |
| 0.0231        | 2.72  | 300  | 0.0221          |
| 0.0214        | 2.81  | 310  | 0.0219          |
| 0.0222        | 2.9   | 320  | 0.0218          |
| 0.0248        | 2.99  | 330  | 0.0218          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1