---
license: apache-2.0
base_model: allenai/OLMo-1B
tags:
- generated_from_trainer
model-index:
- name: O0430HMA11
  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. -->

# O0430HMA11

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: 0.0488

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.8065        | 0.09  | 10   | 0.2263          |
| 0.1808        | 0.18  | 20   | 0.1533          |
| 0.1504        | 0.27  | 30   | 0.1703          |
| 0.1539        | 0.36  | 40   | 0.1510          |
| 0.1512        | 0.45  | 50   | 0.1499          |
| 0.1501        | 0.54  | 60   | 0.1405          |
| 0.147         | 0.63  | 70   | 0.1753          |
| 0.1464        | 0.73  | 80   | 0.1267          |
| 0.0872        | 0.82  | 90   | 0.0932          |
| 0.0774        | 0.91  | 100  | 0.0758          |
| 0.2628        | 1.0   | 110  | 1.3590          |
| 2.7529        | 1.09  | 120  | 1.8422          |
| 0.9754        | 1.18  | 130  | 0.4673          |
| 0.4054        | 1.27  | 140  | 0.3541          |
| 0.3357        | 1.36  | 150  | 0.2889          |
| 0.1804        | 1.45  | 160  | 0.1196          |
| 0.1405        | 1.54  | 170  | 0.1951          |
| 0.167         | 1.63  | 180  | 0.0872          |
| 0.0958        | 1.72  | 190  | 0.0867          |
| 0.0841        | 1.81  | 200  | 0.0904          |
| 0.0816        | 1.9   | 210  | 0.0862          |
| 0.0803        | 1.99  | 220  | 0.0776          |
| 0.0764        | 2.08  | 230  | 0.0763          |
| 0.0722        | 2.18  | 240  | 0.0770          |
| 0.0699        | 2.27  | 250  | 0.0731          |
| 0.0702        | 2.36  | 260  | 0.0677          |
| 0.0624        | 2.45  | 270  | 0.0621          |
| 0.0539        | 2.54  | 280  | 0.0573          |
| 0.054         | 2.63  | 290  | 0.0551          |
| 0.0542        | 2.72  | 300  | 0.0513          |
| 0.0495        | 2.81  | 310  | 0.0492          |
| 0.0485        | 2.9   | 320  | 0.0494          |
| 0.0497        | 2.99  | 330  | 0.0488          |


### Framework versions

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