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O0430HMA15
Litzy619/O0430HMA15
O0430HMA15 is a machine learning model from Litzy619. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Apr 30, 2024
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Apr 30, 2024
- Updated
- Apr 30, 2024
- SHA
- f2bf4c14
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
O0430HMA15
This model is a fine-tuned version of allenai/OLMo-1B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0266
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 |
|---|---|---|---|
| 2.5644 | 0.09 | 10 | 0.2800 |
| 0.178 | 0.18 | 20 | 0.1523 |
| 0.1487 | 0.27 | 30 | 0.1618 |
| 0.1564 | 0.36 | 40 | 0.1585 |
| 0.1535 | 0.45 | 50 | 0.1523 |
| 0.1531 | 0.54 | 60 | 0.1488 |
| 0.1503 | 0.63 | 70 | 0.1486 |
| 0.1497 | 0.73 | 80 | 0.1558 |
| 0.147 | 0.82 | 90 | 0.1492 |
| 0.1496 | 0.91 | 100 | 0.1499 |
| 0.1507 | 1.0 | 110 | 0.1486 |
| 0.1469 | 1.09 | 120 | 0.1510 |
| 0.1478 | 1.18 | 130 | 0.1494 |
| 0.1483 | 1.27 | 140 | 0.1481 |
| 0.1499 | 1.36 | 150 | 0.1506 |
| 0.146 | 1.45 | 160 | 0.1442 |
| 0.3204 | 1.54 | 170 | 2.2831 |
| 0.367 | 1.63 | 180 | 0.2210 |
| 0.0994 | 1.72 | 190 | 0.0781 |
| 0.0734 | 1.81 | 200 | 0.0705 |
| 0.0635 | 1.9 | 210 | 0.0575 |
| 0.0585 | 1.99 | 220 | 0.0566 |
| 0.0659 | 2.08 | 230 | 0.0568 |
| 0.0521 | 2.18 | 240 | 0.0482 |
| 0.0439 | 2.27 | 250 | 0.0367 |
| 0.0508 | 2.36 | 260 | 0.0361 |
| 0.037 | 2.45 | 270 | 0.0350 |
| 0.0269 | 2.54 | 280 | 0.0289 |
| 0.0326 | 2.63 | 290 | 0.0277 |
| 0.0316 | 2.72 | 300 | 0.0298 |
| 0.0286 | 2.81 | 310 | 0.0278 |
| 0.028 | 2.9 | 320 | 0.0270 |
| 0.0307 | 2.99 | 330 | 0.0266 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
- License
- apache-2.0
- Created
- Apr 30, 2024
- Updated
- Apr 30, 2024