---
license: apache-2.0
base_model: allenai/OLMo-1B
tags:
- generated_from_trainer
model-index:
- name: O0428HMA1
  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. -->

# O0428HMA1

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: 0.0540

## 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: 80
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8099        | 0.09  | 10   | 0.1912          |
| 0.1798        | 0.18  | 20   | 0.1531          |
| 0.1494        | 0.27  | 30   | 0.1613          |
| 0.1557        | 0.36  | 40   | 0.1576          |
| 0.1505        | 0.45  | 50   | 0.1489          |
| 0.1502        | 0.54  | 60   | 0.1467          |
| 0.1486        | 0.63  | 70   | 0.1468          |
| 0.1478        | 0.73  | 80   | 0.1530          |
| 0.1418        | 0.82  | 90   | 0.1254          |
| 0.1393        | 0.91  | 100  | 0.1264          |
| 0.114         | 1.0   | 110  | 0.0868          |
| 0.0713        | 1.09  | 120  | 0.0721          |
| 0.0753        | 1.18  | 130  | 0.1096          |
| 0.0868        | 1.27  | 140  | 0.0649          |
| 0.124         | 1.36  | 150  | 0.0621          |
| 0.058         | 1.45  | 160  | 0.0572          |
| 0.0688        | 1.54  | 170  | 0.0600          |
| 0.0626        | 1.63  | 180  | 0.0618          |
| 0.0673        | 1.72  | 190  | 0.0575          |
| 0.0579        | 1.81  | 200  | 0.0574          |
| 0.0592        | 1.9   | 210  | 0.0554          |
| 0.0577        | 1.99  | 220  | 0.0546          |
| 0.0568        | 2.08  | 230  | 0.0548          |
| 0.0807        | 2.18  | 240  | 0.0912          |
| 0.0728        | 2.27  | 250  | 0.0610          |
| 0.0629        | 2.36  | 260  | 0.0589          |
| 0.0554        | 2.45  | 270  | 0.0552          |
| 0.0523        | 2.54  | 280  | 0.0547          |
| 0.0544        | 2.63  | 290  | 0.0560          |
| 0.0551        | 2.72  | 300  | 0.0541          |
| 0.056         | 2.81  | 310  | 0.0539          |
| 0.0574        | 2.9   | 320  | 0.0540          |
| 0.0586        | 2.99  | 330  | 0.0540          |


### Framework versions

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