---
license: apache-2.0
base_model: allenai/OLMo-1B
tags:
- generated_from_trainer
model-index:
- name: O0507TESTV2
  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. -->

# O0507TESTV2

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: -8.4955

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.863         | 0.09  | 10   | -2.3940         |
| -3.4568       | 0.18  | 20   | -3.8604         |
| -3.8975       | 0.27  | 30   | -3.9271         |
| -3.9809       | 0.36  | 40   | -4.0442         |
| -4.1019       | 0.45  | 50   | -4.1819         |
| -4.2453       | 0.54  | 60   | -4.3517         |
| -4.4388       | 0.63  | 70   | -4.5620         |
| -4.6598       | 0.73  | 80   | -4.8056         |
| -4.9318       | 0.82  | 90   | -5.1072         |
| -5.2431       | 0.91  | 100  | -5.4448         |
| -5.4952       | 1.0   | 110  | -4.5478         |
| -5.5982       | 1.09  | 120  | -5.4325         |
| -5.9031       | 1.18  | 130  | -6.2539         |
| -6.3415       | 1.27  | 140  | -6.5544         |
| -6.5926       | 1.36  | 150  | -6.6084         |
| -6.3162       | 1.45  | 160  | -7.0376         |
| -6.8327       | 1.54  | 170  | -6.8154         |
| -6.9773       | 1.63  | 180  | -7.2898         |
| -7.314        | 1.72  | 190  | -7.4747         |
| -7.5529       | 1.81  | 200  | -7.6409         |
| -7.7215       | 1.9   | 210  | -7.8216         |
| -7.851        | 1.99  | 220  | -7.9723         |
| -8.0306       | 2.08  | 230  | -8.0959         |
| -8.0824       | 2.18  | 240  | -8.1964         |
| -8.1233       | 2.27  | 250  | -8.2747         |
| -8.2767       | 2.36  | 260  | -8.3412         |
| -8.3555       | 2.45  | 270  | -8.3954         |
| -8.2976       | 2.54  | 280  | -8.4392         |
| -8.4536       | 2.63  | 290  | -8.4655         |
| -8.4442       | 2.72  | 300  | -8.4827         |
| -8.4231       | 2.81  | 310  | -8.4916         |
| -8.4211       | 2.9   | 320  | -8.4945         |
| -8.486        | 2.99  | 330  | -8.4955         |


### Framework versions

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