metadata
tags:
- generated_from_trainer
model-index:
- name: existential-there-quantifier-transformer-1
results: []
existential-there-quantifier-transformer-1
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.8657
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: 1
- 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 |
---|---|---|---|
4.2241 | 0.03 | 76320 | 4.1976 |
4.0185 | 1.03 | 152640 | 4.0288 |
3.9098 | 0.03 | 228960 | 3.9549 |
3.8424 | 1.03 | 305280 | 3.9139 |
3.7897 | 0.03 | 381600 | 3.8885 |
3.7495 | 1.03 | 457920 | 3.8726 |
3.7173 | 0.03 | 534240 | 3.8620 |
3.6848 | 1.03 | 610560 | 3.8554 |
3.656 | 0.03 | 686880 | 3.8512 |
3.6306 | 1.03 | 763200 | 3.8476 |
3.6077 | 0.03 | 839520 | 3.8454 |
3.5894 | 1.03 | 915840 | 3.8462 |
3.5702 | 0.03 | 992160 | 3.8450 |
3.5528 | 1.03 | 1068480 | 3.8456 |
3.537 | 0.03 | 1144800 | 3.8472 |
3.5234 | 1.03 | 1221120 | 3.8479 |
3.5086 | 0.03 | 1297440 | 3.8489 |
3.4939 | 1.03 | 1373760 | 3.8503 |
3.481 | 0.03 | 1450080 | 3.8515 |
3.4736 | 1.03 | 1526400 | 3.8532 |
3.4635 | 0.03 | 1602720 | 3.8531 |
3.4539 | 0.03 | 1679040 | 3.8541 |
3.4447 | 1.03 | 1755360 | 3.8572 |
3.4313 | 0.03 | 1831680 | 3.8587 |
3.4182 | 0.03 | 1908000 | 3.8596 |
3.4054 | 1.03 | 1984320 | 3.8609 |
3.3944 | 0.03 | 2060640 | 3.8624 |
3.3856 | 1.03 | 2136960 | 3.8638 |
3.3773 | 0.03 | 2213280 | 3.8645 |
3.3645 | 1.03 | 2289600 | 3.8652 |
3.3559 | 0.03 | 2365920 | 3.8659 |
3.3475 | 1.03 | 2442240 | 3.8671 |
3.3376 | 0.03 | 2518560 | 3.8674 |
3.3262 | 1.03 | 2594880 | 3.8677 |
3.316 | 0.03 | 2671200 | 3.8670 |
3.3108 | 0.03 | 2747520 | 3.8680 |
3.3042 | 1.03 | 2823840 | 3.8675 |
3.2997 | 0.03 | 2900160 | 3.8669 |
3.2947 | 1.03 | 2976480 | 3.8666 |
3.2859 | 0.02 | 3052726 | 3.8657 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3