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O0503HMA2
Litzy619/O0503HMA2
O0503HMA2 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 May 14, 2024
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- May 14, 2024
- Updated
- May 14, 2024
- SHA
- 6b1cbc65
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. -->
O0503HMA2
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: 0.0069
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 |
|---|---|---|---|
| 2.6684 | 0.09 | 10 | 0.2468 |
| 0.181 | 0.18 | 20 | 0.1587 |
| 0.1505 | 0.27 | 30 | 0.1688 |
| 0.1569 | 0.36 | 40 | 0.1551 |
| 0.1507 | 0.45 | 50 | 0.1505 |
| 0.1534 | 0.54 | 60 | 0.1511 |
| 0.1498 | 0.63 | 70 | 0.1499 |
| 0.1487 | 0.73 | 80 | 0.1555 |
| 0.1474 | 0.82 | 90 | 0.1492 |
| 0.1479 | 0.91 | 100 | 0.1477 |
| 0.1506 | 1.0 | 110 | 0.1454 |
| 0.1503 | 1.09 | 120 | 0.1306 |
| 0.6729 | 1.18 | 130 | 0.1532 |
| 0.1678 | 1.27 | 140 | 0.1958 |
| 0.1157 | 1.36 | 150 | 0.1962 |
| 0.1337 | 1.45 | 160 | 0.0764 |
| 0.0638 | 1.54 | 170 | 0.0533 |
| 0.0649 | 1.63 | 180 | 0.0516 |
| 0.0492 | 1.72 | 190 | 0.0550 |
| 0.0345 | 1.81 | 200 | 0.0307 |
| 0.0412 | 1.9 | 210 | 0.0674 |
| 0.0287 | 1.99 | 220 | 0.0210 |
| 0.023 | 2.08 | 230 | 0.0105 |
| 0.0129 | 2.18 | 240 | 0.0089 |
| 0.0087 | 2.27 | 250 | 0.0101 |
| 0.0125 | 2.36 | 260 | 0.0082 |
| 0.0138 | 2.45 | 270 | 0.0079 |
| 0.0062 | 2.54 | 280 | 0.0072 |
| 0.015 | 2.63 | 290 | 0.0068 |
| 0.0083 | 2.72 | 300 | 0.0068 |
| 0.0087 | 2.81 | 310 | 0.0069 |
| 0.0113 | 2.9 | 320 | 0.0069 |
| 0.008 | 2.99 | 330 | 0.0069 |
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 14, 2024
- Updated
- May 14, 2024