existential-there-quantifier-transformer-3
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.8870
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 3
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 3052726
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.2578 | 0.03 | 76320 | 4.2202 |
| 4.0491 | 1.03 | 152640 | 4.0493 |
| 3.9403 | 0.03 | 228960 | 3.9755 |
| 3.8657 | 1.03 | 305280 | 3.9338 |
| 3.8138 | 0.03 | 381600 | 3.9092 |
| 3.7726 | 1.03 | 457920 | 3.8934 |
| 3.7408 | 0.03 | 534240 | 3.8821 |
| 3.7154 | 1.03 | 610560 | 3.8751 |
| 3.6843 | 0.03 | 686880 | 3.8707 |
| 3.6646 | 1.03 | 763200 | 3.8680 |
| 3.6408 | 0.03 | 839520 | 3.8652 |
| 3.6168 | 1.03 | 915840 | 3.8642 |
| 3.6004 | 0.03 | 992160 | 3.8643 |
| 3.5813 | 1.03 | 1068480 | 3.8645 |
| 3.5608 | 0.03 | 1144800 | 3.8657 |
| 3.5501 | 1.03 | 1221120 | 3.8673 |
| 3.5339 | 0.03 | 1297440 | 3.8686 |
| 3.5179 | 1.03 | 1373760 | 3.8710 |
| 3.506 | 0.03 | 1450080 | 3.8708 |
| 3.4907 | 1.03 | 1526400 | 3.8727 |
| 3.4841 | 0.03 | 1602720 | 3.8737 |
| 3.4737 | 1.03 | 1679040 | 3.8748 |
| 3.4672 | 0.03 | 1755360 | 3.8765 |
| 3.4616 | 0.03 | 1831680 | 3.8780 |
| 3.4467 | 1.03 | 1908000 | 3.8812 |
| 3.4387 | 0.03 | 1984320 | 3.8807 |
| 3.4288 | 1.03 | 2060640 | 3.8830 |
| 3.4155 | 0.03 | 2136960 | 3.8840 |
| 3.4059 | 1.03 | 2213280 | 3.8846 |
| 3.3956 | 0.03 | 2289600 | 3.8861 |
| 3.3788 | 1.03 | 2365920 | 3.8876 |
| 3.3735 | 0.03 | 2442240 | 3.8885 |
| 3.3616 | 1.03 | 2518560 | 3.8882 |
| 3.3489 | 0.03 | 2594880 | 3.8890 |
| 3.3424 | 1.03 | 2671200 | 3.8898 |
| 3.3314 | 0.03 | 2747520 | 3.8899 |
| 3.326 | 0.03 | 2823840 | 3.8895 |
| 3.3206 | 1.03 | 2900160 | 3.8888 |
| 3.3171 | 0.03 | 2976480 | 3.8880 |
| 3.3144 | 1.02 | 3052726 | 3.8870 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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