---
license: apache-2.0
base_model: allenai/OLMo-1B
tags:
- generated_from_trainer
model-index:
- name: O0506TEST3
  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. -->

# O0506TEST3

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: -4.4239

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1005        | 0.09  | 10   | -1.5637         |
| -1.7829       | 0.18  | 20   | -1.8563         |
| -1.8732       | 0.27  | 30   | -1.8844         |
| -1.9118       | 0.36  | 40   | -1.9458         |
| -1.9739       | 0.45  | 50   | -2.0139         |
| -2.0453       | 0.54  | 60   | -2.1005         |
| -2.1436       | 0.63  | 70   | -2.2061         |
| -2.2555       | 0.73  | 80   | -2.3258         |
| -2.4047       | 0.82  | 90   | -2.5182         |
| -2.5613       | 0.91  | 100  | -2.6960         |
| -2.7428       | 1.0   | 110  | -2.8828         |
| -2.4287       | 1.09  | 120  | -3.0421         |
| -2.9323       | 1.18  | 130  | -3.1984         |
| -2.9297       | 1.27  | 140  | -3.1196         |
| -2.9262       | 1.36  | 150  | 1.6830          |
| -1.7801       | 1.45  | 160  | -1.1498         |
| -2.8852       | 1.54  | 170  | -3.4537         |
| -3.2749       | 1.63  | 180  | -3.6075         |
| -3.6454       | 1.72  | 190  | -3.7508         |
| -3.813        | 1.81  | 200  | -3.8830         |
| -3.9317       | 1.9   | 210  | -3.9917         |
| -4.0157       | 1.99  | 220  | -4.0920         |
| -4.1285       | 2.08  | 230  | -4.1672         |
| -4.1735       | 2.18  | 240  | -4.2356         |
| -4.1966       | 2.27  | 250  | -4.2894         |
| -4.2903       | 2.36  | 260  | -4.3295         |
| -4.3409       | 2.45  | 270  | -4.3633         |
| -4.3074       | 2.54  | 280  | -4.3890         |
| -4.3943       | 2.63  | 290  | -4.4015         |
| -4.3886       | 2.72  | 300  | -4.4165         |
| -4.3791       | 2.81  | 310  | -4.4221         |
| -4.3777       | 2.9   | 320  | -4.4237         |
| -4.4116       | 2.99  | 330  | -4.4239         |


### Framework versions

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