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O0507TESTV2
Litzy619/O0507TESTV2
O0507TESTV2 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 7, 2024
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- May 7, 2024
- Updated
- May 7, 2024
- SHA
- 5a2f0315
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. -->
O0507TESTV2
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: -8.4955
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 |
|---|---|---|---|
| 0.863 | 0.09 | 10 | -2.3940 |
| -3.4568 | 0.18 | 20 | -3.8604 |
| -3.8975 | 0.27 | 30 | -3.9271 |
| -3.9809 | 0.36 | 40 | -4.0442 |
| -4.1019 | 0.45 | 50 | -4.1819 |
| -4.2453 | 0.54 | 60 | -4.3517 |
| -4.4388 | 0.63 | 70 | -4.5620 |
| -4.6598 | 0.73 | 80 | -4.8056 |
| -4.9318 | 0.82 | 90 | -5.1072 |
| -5.2431 | 0.91 | 100 | -5.4448 |
| -5.4952 | 1.0 | 110 | -4.5478 |
| -5.5982 | 1.09 | 120 | -5.4325 |
| -5.9031 | 1.18 | 130 | -6.2539 |
| -6.3415 | 1.27 | 140 | -6.5544 |
| -6.5926 | 1.36 | 150 | -6.6084 |
| -6.3162 | 1.45 | 160 | -7.0376 |
| -6.8327 | 1.54 | 170 | -6.8154 |
| -6.9773 | 1.63 | 180 | -7.2898 |
| -7.314 | 1.72 | 190 | -7.4747 |
| -7.5529 | 1.81 | 200 | -7.6409 |
| -7.7215 | 1.9 | 210 | -7.8216 |
| -7.851 | 1.99 | 220 | -7.9723 |
| -8.0306 | 2.08 | 230 | -8.0959 |
| -8.0824 | 2.18 | 240 | -8.1964 |
| -8.1233 | 2.27 | 250 | -8.2747 |
| -8.2767 | 2.36 | 260 | -8.3412 |
| -8.3555 | 2.45 | 270 | -8.3954 |
| -8.2976 | 2.54 | 280 | -8.4392 |
| -8.4536 | 2.63 | 290 | -8.4655 |
| -8.4442 | 2.72 | 300 | -8.4827 |
| -8.4231 | 2.81 | 310 | -8.4916 |
| -8.4211 | 2.9 | 320 | -8.4945 |
| -8.486 | 2.99 | 330 | -8.4955 |
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