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O0430HMA8
Litzy619/O0430HMA8
O0430HMA8 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
- d376e4e7
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. -->
O0430HMA8
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: 0.0097
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 |
|---|---|---|---|
| 2.8818 | 0.09 | 10 | 0.2574 |
| 0.1883 | 0.18 | 20 | 0.1602 |
| 0.1522 | 0.27 | 30 | 0.1648 |
| 0.1591 | 0.36 | 40 | 0.1532 |
| 0.1506 | 0.45 | 50 | 0.1499 |
| 0.1514 | 0.54 | 60 | 0.1500 |
| 0.1507 | 0.63 | 70 | 0.1473 |
| 0.1508 | 0.73 | 80 | 0.1553 |
| 0.1469 | 0.82 | 90 | 0.1506 |
| 0.1461 | 0.91 | 100 | 0.1385 |
| 0.1147 | 1.0 | 110 | 0.0797 |
| 0.0984 | 1.09 | 120 | 0.0851 |
| 0.202 | 1.18 | 130 | 0.0826 |
| 0.0782 | 1.27 | 140 | 0.0681 |
| 0.1336 | 1.36 | 150 | 0.0831 |
| 0.058 | 1.45 | 160 | 0.0398 |
| 0.0845 | 1.54 | 170 | 0.0853 |
| 0.0583 | 1.63 | 180 | 0.0311 |
| 0.0332 | 1.72 | 190 | 0.0253 |
| 0.0311 | 1.81 | 200 | 0.0264 |
| 0.0337 | 1.9 | 210 | 0.0251 |
| 0.0212 | 1.99 | 220 | 0.0208 |
| 0.0265 | 2.08 | 230 | 0.0244 |
| 0.0199 | 2.18 | 240 | 0.0202 |
| 0.0171 | 2.27 | 250 | 0.0174 |
| 0.02 | 2.36 | 260 | 0.0163 |
| 0.0174 | 2.45 | 270 | 0.0158 |
| 0.0119 | 2.54 | 280 | 0.0128 |
| 0.0161 | 2.63 | 290 | 0.0132 |
| 0.0152 | 2.72 | 300 | 0.0103 |
| 0.0139 | 2.81 | 310 | 0.0109 |
| 0.0128 | 2.9 | 320 | 0.0102 |
| 0.0111 | 2.99 | 330 | 0.0097 |
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