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O0506TEST
Litzy619/O0506TEST
O0506TEST 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 6, 2024
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- May 6, 2024
- Updated
- May 6, 2024
- SHA
- a5f3c034
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. -->
O0506TEST
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: -47.2856
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 |
|---|---|---|---|
| -11.8749 | 0.09 | 10 | -14.0218 |
| -14.1305 | 0.18 | 20 | -14.2468 |
| -14.3704 | 0.27 | 30 | -14.5481 |
| -14.7299 | 0.36 | 40 | -14.9938 |
| -15.2303 | 0.45 | 50 | -15.5855 |
| -15.8744 | 0.54 | 60 | -16.3445 |
| -16.7251 | 0.63 | 70 | -17.2990 |
| -17.7631 | 0.73 | 80 | -18.4397 |
| -19.0466 | 0.82 | 90 | -19.9335 |
| -20.6521 | 0.91 | 100 | -21.7543 |
| -22.5524 | 1.0 | 110 | -23.8121 |
| -24.7052 | 1.09 | 120 | -26.0076 |
| -26.5875 | 1.18 | 130 | -28.2672 |
| -28.9769 | 1.27 | 140 | -30.5118 |
| -31.3719 | 1.36 | 150 | -32.7197 |
| -33.203 | 1.45 | 160 | -34.8411 |
| -35.4209 | 1.54 | 170 | -36.8347 |
| -37.2307 | 1.63 | 180 | -38.6589 |
| -38.8488 | 1.72 | 190 | -37.7034 |
| -40.0554 | 1.81 | 200 | -41.4002 |
| -41.1722 | 1.9 | 210 | -42.2517 |
| -42.2511 | 1.99 | 220 | -43.2108 |
| -43.6435 | 2.08 | 230 | -44.1210 |
| -44.0969 | 2.18 | 240 | -44.9382 |
| -44.1582 | 2.27 | 250 | -45.6027 |
| -45.5951 | 2.36 | 260 | -46.1312 |
| -46.2215 | 2.45 | 270 | -46.5436 |
| -45.4689 | 2.54 | 280 | -46.8401 |
| -46.9295 | 2.63 | 290 | -47.0472 |
| -46.8051 | 2.72 | 300 | -47.1790 |
| -46.5686 | 2.81 | 310 | -47.2487 |
| -46.5529 | 2.9 | 320 | -47.2782 |
| -47.2225 | 2.99 | 330 | -47.2856 |
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 6, 2024
- Updated
- May 6, 2024