---
license: apache-2.0
base_model: allenai/OLMo-1B
tags:
- generated_from_trainer
model-index:
- name: O0507TESTW2
  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. -->

# O0507TESTW2

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: -15.8217

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| -0.1647       | 0.09  | 10   | -3.1185         |
| -4.2812       | 0.18  | 20   | -5.4241         |
| -6.9822       | 0.27  | 30   | -9.2575         |
| -11.0895      | 0.36  | 40   | -13.0391        |
| -13.9419      | 0.45  | 50   | -14.5066        |
| -14.9177      | 0.54  | 60   | -15.0055        |
| -15.2124      | 0.63  | 70   | -15.2714        |
| -15.4062      | 0.73  | 80   | -15.5051        |
| -15.5194      | 0.82  | 90   | -15.5283        |
| -6.9681       | 0.91  | 100  | -3.6542         |
| -6.2069       | 1.0   | 110  | -13.6707        |
| -14.5293      | 1.09  | 120  | -15.4137        |
| -15.5064      | 1.18  | 130  | -15.5754        |
| -15.6102      | 1.27  | 140  | -15.6458        |
| -15.6795      | 1.36  | 150  | -15.7236        |
| -15.7487      | 1.45  | 160  | -15.7689        |
| -15.7781      | 1.54  | 170  | -15.7856        |
| -15.786       | 1.63  | 180  | -15.7905        |
| -15.7915      | 1.72  | 190  | -15.7937        |
| -15.8052      | 1.81  | 200  | -15.7934        |
| -15.8         | 1.9   | 210  | -15.7950        |
| -15.796       | 1.99  | 220  | -15.7954        |
| -15.8014      | 2.08  | 230  | -15.7982        |
| -15.7996      | 2.18  | 240  | -15.8007        |
| -15.8055      | 2.27  | 250  | -15.8022        |
| -15.8089      | 2.36  | 260  | -15.8037        |
| -15.8139      | 2.45  | 270  | -15.8082        |
| -15.8142      | 2.54  | 280  | -15.8109        |
| -15.821       | 2.63  | 290  | -15.8151        |
| -15.8227      | 2.72  | 300  | -15.8183        |
| -15.8206      | 2.81  | 310  | -15.8206        |
| -15.8252      | 2.9   | 320  | -15.8216        |
| -15.8238      | 2.99  | 330  | -15.8217        |


### Framework versions

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