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O0506TEST6
Litzy619/O0506TEST6
O0506TEST6 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
- 0d120db3
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. -->
O0506TEST6
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: -4.3565
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 |
|---|---|---|---|
| 1.977 | 0.09 | 10 | -1.0050 |
| -1.6595 | 0.18 | 20 | -1.8402 |
| -1.871 | 0.27 | 30 | -1.8787 |
| -1.9097 | 0.36 | 40 | -1.9390 |
| -1.9688 | 0.45 | 50 | -2.0092 |
| -2.0406 | 0.54 | 60 | -2.0941 |
| -2.1363 | 0.63 | 70 | -2.2000 |
| -2.2492 | 0.73 | 80 | -2.3229 |
| -2.3893 | 0.82 | 90 | -2.4755 |
| -2.5463 | 0.91 | 100 | -2.6467 |
| -2.7222 | 1.0 | 110 | -2.8442 |
| -2.9328 | 1.09 | 120 | -3.0124 |
| -2.2671 | 1.18 | 130 | -3.0900 |
| -3.1533 | 1.27 | 140 | -2.3725 |
| -3.111 | 1.36 | 150 | -3.3882 |
| -3.4384 | 1.45 | 160 | -3.5451 |
| -3.5427 | 1.54 | 170 | -3.6589 |
| -3.6817 | 1.63 | 180 | -3.6443 |
| -1.9189 | 1.72 | 190 | -1.9290 |
| -0.861 | 1.81 | 200 | -2.3558 |
| -2.9997 | 1.9 | 210 | -3.6258 |
| -3.7286 | 1.99 | 220 | -3.8329 |
| -3.9009 | 2.08 | 230 | -3.9615 |
| -3.9864 | 2.18 | 240 | -4.0995 |
| -4.0806 | 2.27 | 250 | -4.1864 |
| -4.1997 | 2.36 | 260 | -4.2364 |
| -4.2574 | 2.45 | 270 | -4.2755 |
| -4.229 | 2.54 | 280 | -4.3103 |
| -4.3281 | 2.63 | 290 | -4.3305 |
| -4.3242 | 2.72 | 300 | -4.3461 |
| -4.3173 | 2.81 | 310 | -4.3527 |
| -4.319 | 2.9 | 320 | -4.3550 |
| -4.3546 | 2.99 | 330 | -4.3565 |
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