---
license: apache-2.0
base_model: allenai/OLMo-1B
tags:
- generated_from_trainer
model-index:
- name: O0506TEST2
  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. -->

# O0506TEST2

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: -6.1946

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5234        | 0.09  | 10   | -1.5732         |
| -1.6148       | 0.18  | 20   | -1.6455         |
| -1.6632       | 0.27  | 30   | -1.6791         |
| -1.7073       | 0.36  | 40   | -1.7412         |
| -1.771        | 0.45  | 50   | -1.8170         |
| -1.8527       | 0.54  | 60   | -1.9152         |
| -1.9647       | 0.63  | 70   | -2.0400         |
| -2.1058       | 0.73  | 80   | -2.1959         |
| -2.2879       | 0.82  | 90   | -2.4163         |
| -2.5127       | 0.91  | 100  | -2.6733         |
| -2.7623       | 1.0   | 110  | -2.9418         |
| 1.9772        | 1.09  | 120  | 3.2375          |
| -0.6558       | 1.18  | 130  | -2.4587         |
| -2.9863       | 1.27  | 140  | -3.3977         |
| -3.5664       | 1.36  | 150  | -3.8086         |
| -3.9393       | 1.45  | 160  | -4.1914         |
| -4.292        | 1.54  | 170  | -4.5058         |
| -4.5875       | 1.63  | 180  | -4.8033         |
| -4.8602       | 1.72  | 190  | -5.0741         |
| -5.1734       | 1.81  | 200  | -5.2974         |
| -5.3674       | 1.9   | 210  | -5.4358         |
| -5.4772       | 1.99  | 220  | -5.6335         |
| -5.7073       | 2.08  | 230  | -5.7721         |
| -5.7794       | 2.18  | 240  | -5.8909         |
| -5.7909       | 2.27  | 250  | -5.9810         |
| -5.9785       | 2.36  | 260  | -6.0502         |
| -6.0635       | 2.45  | 270  | -6.0989         |
| -5.9563       | 2.54  | 280  | -6.1409         |
| -6.1511       | 2.63  | 290  | -6.1660         |
| -6.1327       | 2.72  | 300  | -6.1826         |
| -6.1021       | 2.81  | 310  | -6.1911         |
| -6.0999       | 2.9   | 320  | -6.1941         |
| -6.1908       | 2.99  | 330  | -6.1946         |


### Framework versions

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