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O0507TESTB
Litzy619/O0507TESTB
O0507TESTB 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. --
Access
Public
Updated May 7, 2024
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1.2B
4.8 GB on disk
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- May 7, 2024
- Updated
- May 7, 2024
- SHA
- c1391f5e
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. -->
O0507TESTB
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: 0.0425
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 |
|---|---|---|---|
| 6.4275 | 0.09 | 10 | 2.0300 |
| 0.69 | 0.18 | 20 | 0.1939 |
| 0.1602 | 0.27 | 30 | 0.1663 |
| 0.1564 | 0.36 | 40 | 0.1526 |
| 0.1525 | 0.45 | 50 | 0.1497 |
| 0.1531 | 0.54 | 60 | 0.1471 |
| 0.1502 | 0.63 | 70 | 0.1462 |
| 0.1584 | 0.73 | 80 | 0.1605 |
| 0.1554 | 0.82 | 90 | 0.1521 |
| 0.1518 | 0.91 | 100 | 0.1544 |
| 0.155 | 1.0 | 110 | 0.1505 |
| 0.1471 | 1.09 | 120 | 0.1485 |
| 0.1467 | 1.18 | 130 | 0.1504 |
| 0.1473 | 1.27 | 140 | 0.1507 |
| 0.1494 | 1.36 | 150 | 0.1487 |
| 0.1436 | 1.45 | 160 | 0.1463 |
| 0.1413 | 1.54 | 170 | 0.1461 |
| 0.1526 | 1.63 | 180 | 0.1441 |
| 0.1265 | 1.72 | 190 | 0.0984 |
| 0.3519 | 1.81 | 200 | 0.1395 |
| 0.1624 | 1.9 | 210 | 0.1329 |
| 0.1649 | 1.99 | 220 | 0.1139 |
| 0.1361 | 2.08 | 230 | 0.1410 |
| 0.095 | 2.18 | 240 | 0.0842 |
| 0.0593 | 2.27 | 250 | 0.0631 |
| 0.057 | 2.36 | 260 | 0.0612 |
| 0.06 | 2.45 | 270 | 0.0581 |
| 0.0504 | 2.54 | 280 | 0.0539 |
| 0.0501 | 2.63 | 290 | 0.0483 |
| 0.0475 | 2.72 | 300 | 0.0469 |
| 0.0431 | 2.81 | 310 | 0.0435 |
| 0.0453 | 2.9 | 320 | 0.0432 |
| 0.0418 | 2.99 | 330 | 0.0425 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.0
- License
- apache-2.0
- Created
- May 7, 2024
- Updated
- May 7, 2024