metadata
tags:
- generated_from_trainer
model-index:
- name: existential-there-quantifier-transformer-2
results: []
existential-there-quantifier-transformer-2
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.8631
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: 2
- 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 |
|---|---|---|---|
| 4.2284 | 0.03 | 76320 | 4.1985 |
| 4.0216 | 1.03 | 152640 | 4.0292 |
| 3.9117 | 0.03 | 228960 | 3.9547 |
| 3.846 | 1.03 | 305280 | 3.9137 |
| 3.7932 | 0.03 | 381600 | 3.8879 |
| 3.7526 | 1.03 | 457920 | 3.8726 |
| 3.7186 | 0.03 | 534240 | 3.8616 |
| 3.6853 | 1.03 | 610560 | 3.8549 |
| 3.6566 | 0.03 | 686880 | 3.8491 |
| 3.6299 | 1.03 | 763200 | 3.8466 |
| 3.6088 | 0.03 | 839520 | 3.8450 |
| 3.5909 | 1.03 | 915840 | 3.8433 |
| 3.5721 | 0.03 | 992160 | 3.8440 |
| 3.5517 | 1.03 | 1068480 | 3.8438 |
| 3.5396 | 0.03 | 1144800 | 3.8448 |
| 3.5253 | 1.03 | 1221120 | 3.8455 |
| 3.5095 | 0.03 | 1297440 | 3.8461 |
| 3.4965 | 0.03 | 1373760 | 3.8489 |
| 3.4797 | 1.03 | 1450080 | 3.8500 |
| 3.4741 | 0.03 | 1526400 | 3.8496 |
| 3.463 | 1.03 | 1602720 | 3.8523 |
| 3.456 | 0.03 | 1679040 | 3.8542 |
| 3.4458 | 1.03 | 1755360 | 3.8550 |
| 3.433 | 0.03 | 1831680 | 3.8559 |
| 3.4181 | 0.03 | 1908000 | 3.8570 |
| 3.4069 | 1.03 | 1984320 | 3.8597 |
| 3.3962 | 0.03 | 2060640 | 3.8610 |
| 3.3886 | 1.03 | 2136960 | 3.8617 |
| 3.3791 | 0.03 | 2213280 | 3.8636 |
| 3.3653 | 1.03 | 2289600 | 3.8646 |
| 3.3589 | 0.03 | 2365920 | 3.8649 |
| 3.3494 | 1.03 | 2442240 | 3.8656 |
| 3.3363 | 0.03 | 2518560 | 3.8670 |
| 3.3258 | 1.03 | 2594880 | 3.8668 |
| 3.3168 | 0.03 | 2671200 | 3.8669 |
| 3.3126 | 1.03 | 2747520 | 3.8667 |
| 3.3062 | 0.03 | 2823840 | 3.8659 |
| 3.3037 | 1.03 | 2900160 | 3.8657 |
| 3.2966 | 0.03 | 2976480 | 3.8640 |
| 3.2869 | 1.02 | 3052726 | 3.8631 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3