---
license: apache-2.0
base_model: allenai/OLMo-1B
tags:
- generated_from_trainer
model-index:
- name: O0507TESTW4
  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. -->

# O0507TESTW4

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: -15.8407

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0441        | 0.09  | 10   | -3.1083         |
| -5.0046       | 0.18  | 20   | -6.0412         |
| -6.8874       | 0.27  | 30   | -8.0540         |
| -9.0261       | 0.36  | 40   | -9.9891         |
| -10.9861      | 0.45  | 50   | -12.1696        |
| -12.9302      | 0.54  | 60   | -13.9751        |
| -13.3926      | 0.63  | 70   | -13.2579        |
| -13.6313      | 0.73  | 80   | -13.9466        |
| -14.0192      | 0.82  | 90   | -13.9525        |
| -13.7502      | 0.91  | 100  | 1.1641          |
| -4.3114       | 1.0   | 110  | -7.6709         |
| -10.5181      | 1.09  | 120  | -12.7705        |
| -13.6347      | 1.18  | 130  | -14.6031        |
| -14.8384      | 1.27  | 140  | -15.1801        |
| -15.3669      | 1.36  | 150  | -15.4784        |
| -15.5216      | 1.45  | 160  | -15.5379        |
| -15.6124      | 1.54  | 170  | -15.6557        |
| -15.6801      | 1.63  | 180  | -15.6797        |
| -15.6673      | 1.72  | 190  | -15.7361        |
| -15.7512      | 1.81  | 200  | -15.3992        |
| -15.6977      | 1.9   | 210  | -15.7783        |
| -15.78        | 1.99  | 220  | -15.7801        |
| -15.7913      | 2.08  | 230  | -15.7800        |
| -15.8022      | 2.18  | 240  | -15.8138        |
| -15.8227      | 2.27  | 250  | -15.8210        |
| -15.8309      | 2.36  | 260  | -15.8280        |
| -15.8353      | 2.45  | 270  | -15.8329        |
| -15.8357      | 2.54  | 280  | -15.8364        |
| -15.8412      | 2.63  | 290  | -15.8371        |
| -15.8415      | 2.72  | 300  | -15.8402        |
| -15.8438      | 2.81  | 310  | -15.8415        |
| -15.846       | 2.9   | 320  | -15.8407        |
| -15.8458      | 2.99  | 330  | -15.8407        |


### Framework versions

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