---
license: apache-2.0
base_model: allenai/OLMo-1B
tags:
- generated_from_trainer
model-index:
- name: O0506TEST
  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. -->

# O0506TEST

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: -47.2856

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| -11.8749      | 0.09  | 10   | -14.0218        |
| -14.1305      | 0.18  | 20   | -14.2468        |
| -14.3704      | 0.27  | 30   | -14.5481        |
| -14.7299      | 0.36  | 40   | -14.9938        |
| -15.2303      | 0.45  | 50   | -15.5855        |
| -15.8744      | 0.54  | 60   | -16.3445        |
| -16.7251      | 0.63  | 70   | -17.2990        |
| -17.7631      | 0.73  | 80   | -18.4397        |
| -19.0466      | 0.82  | 90   | -19.9335        |
| -20.6521      | 0.91  | 100  | -21.7543        |
| -22.5524      | 1.0   | 110  | -23.8121        |
| -24.7052      | 1.09  | 120  | -26.0076        |
| -26.5875      | 1.18  | 130  | -28.2672        |
| -28.9769      | 1.27  | 140  | -30.5118        |
| -31.3719      | 1.36  | 150  | -32.7197        |
| -33.203       | 1.45  | 160  | -34.8411        |
| -35.4209      | 1.54  | 170  | -36.8347        |
| -37.2307      | 1.63  | 180  | -38.6589        |
| -38.8488      | 1.72  | 190  | -37.7034        |
| -40.0554      | 1.81  | 200  | -41.4002        |
| -41.1722      | 1.9   | 210  | -42.2517        |
| -42.2511      | 1.99  | 220  | -43.2108        |
| -43.6435      | 2.08  | 230  | -44.1210        |
| -44.0969      | 2.18  | 240  | -44.9382        |
| -44.1582      | 2.27  | 250  | -45.6027        |
| -45.5951      | 2.36  | 260  | -46.1312        |
| -46.2215      | 2.45  | 270  | -46.5436        |
| -45.4689      | 2.54  | 280  | -46.8401        |
| -46.9295      | 2.63  | 290  | -47.0472        |
| -46.8051      | 2.72  | 300  | -47.1790        |
| -46.5686      | 2.81  | 310  | -47.2487        |
| -46.5529      | 2.9   | 320  | -47.2782        |
| -47.2225      | 2.99  | 330  | -47.2856        |


### Framework versions

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