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---
license: apache-2.0
base_model: allenai/OLMo-1B
tags:
- generated_from_trainer
model-index:
- name: O0428HMA26
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. -->
# O0428HMA26
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: 0.1367
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3788 | 0.09 | 10 | 0.1706 |
| 0.1647 | 0.18 | 20 | 0.1607 |
| 0.1505 | 0.27 | 30 | 0.1637 |
| 0.1577 | 0.36 | 40 | 0.1513 |
| 0.1517 | 0.45 | 50 | 0.1517 |
| 0.1528 | 0.54 | 60 | 0.1497 |
| 0.1516 | 0.63 | 70 | 0.1478 |
| 0.1492 | 0.73 | 80 | 0.1647 |
| 0.1507 | 0.82 | 90 | 0.1472 |
| 0.1498 | 0.91 | 100 | 0.1525 |
| 0.1516 | 1.0 | 110 | 0.1518 |
| 0.1484 | 1.09 | 120 | 0.1495 |
| 0.1494 | 1.18 | 130 | 0.1516 |
| 0.1487 | 1.27 | 140 | 0.1508 |
| 0.15 | 1.36 | 150 | 0.1485 |
| 0.1454 | 1.45 | 160 | 0.1474 |
| 0.1458 | 1.54 | 170 | 0.1476 |
| 0.1482 | 1.63 | 180 | 0.1462 |
| 0.1472 | 1.72 | 190 | 0.1505 |
| 0.146 | 1.81 | 200 | 0.1486 |
| 0.1495 | 1.9 | 210 | 0.1498 |
| 0.1471 | 1.99 | 220 | 0.1510 |
| 0.1478 | 2.08 | 230 | 0.1477 |
| 0.1413 | 2.18 | 240 | 0.1460 |
| 0.1425 | 2.27 | 250 | 0.1473 |
| 0.1432 | 2.36 | 260 | 0.1473 |
| 0.1408 | 2.45 | 270 | 0.1445 |
| 0.1384 | 2.54 | 280 | 0.1428 |
| 0.1378 | 2.63 | 290 | 0.1420 |
| 0.1396 | 2.72 | 300 | 0.1387 |
| 0.1376 | 2.81 | 310 | 0.1378 |
| 0.1365 | 2.9 | 320 | 0.1367 |
| 0.1368 | 2.99 | 330 | 0.1367 |
### Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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