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---
license: apache-2.0
base_model: allenai/OLMo-1B
tags:
- generated_from_trainer
model-index:
- name: O0428HMA1
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. -->
# O0428HMA1
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: 0.0540
## 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: 80
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8099 | 0.09 | 10 | 0.1912 |
| 0.1798 | 0.18 | 20 | 0.1531 |
| 0.1494 | 0.27 | 30 | 0.1613 |
| 0.1557 | 0.36 | 40 | 0.1576 |
| 0.1505 | 0.45 | 50 | 0.1489 |
| 0.1502 | 0.54 | 60 | 0.1467 |
| 0.1486 | 0.63 | 70 | 0.1468 |
| 0.1478 | 0.73 | 80 | 0.1530 |
| 0.1418 | 0.82 | 90 | 0.1254 |
| 0.1393 | 0.91 | 100 | 0.1264 |
| 0.114 | 1.0 | 110 | 0.0868 |
| 0.0713 | 1.09 | 120 | 0.0721 |
| 0.0753 | 1.18 | 130 | 0.1096 |
| 0.0868 | 1.27 | 140 | 0.0649 |
| 0.124 | 1.36 | 150 | 0.0621 |
| 0.058 | 1.45 | 160 | 0.0572 |
| 0.0688 | 1.54 | 170 | 0.0600 |
| 0.0626 | 1.63 | 180 | 0.0618 |
| 0.0673 | 1.72 | 190 | 0.0575 |
| 0.0579 | 1.81 | 200 | 0.0574 |
| 0.0592 | 1.9 | 210 | 0.0554 |
| 0.0577 | 1.99 | 220 | 0.0546 |
| 0.0568 | 2.08 | 230 | 0.0548 |
| 0.0807 | 2.18 | 240 | 0.0912 |
| 0.0728 | 2.27 | 250 | 0.0610 |
| 0.0629 | 2.36 | 260 | 0.0589 |
| 0.0554 | 2.45 | 270 | 0.0552 |
| 0.0523 | 2.54 | 280 | 0.0547 |
| 0.0544 | 2.63 | 290 | 0.0560 |
| 0.0551 | 2.72 | 300 | 0.0541 |
| 0.056 | 2.81 | 310 | 0.0539 |
| 0.0574 | 2.9 | 320 | 0.0540 |
| 0.0586 | 2.99 | 330 | 0.0540 |
### Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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