metadata
tags:
- generated_from_trainer
model-index:
- name: existential-there-quantifier-transformer-3
results: []
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: 3.8614
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 |
---|---|---|---|
4.2255 | 0.03 | 76320 | 4.1981 |
4.0196 | 1.03 | 152640 | 4.0287 |
3.9092 | 0.03 | 228960 | 3.9539 |
3.8408 | 1.03 | 305280 | 3.9129 |
3.7902 | 0.03 | 381600 | 3.8885 |
3.7501 | 1.03 | 457920 | 3.8713 |
3.7154 | 0.03 | 534240 | 3.8614 |
3.6838 | 1.03 | 610560 | 3.8546 |
3.6538 | 0.03 | 686880 | 3.8502 |
3.627 | 1.03 | 763200 | 3.8468 |
3.6059 | 0.03 | 839520 | 3.8452 |
3.5882 | 1.03 | 915840 | 3.8449 |
3.571 | 0.03 | 992160 | 3.8447 |
3.5498 | 1.03 | 1068480 | 3.8448 |
3.5367 | 0.03 | 1144800 | 3.8457 |
3.524 | 1.03 | 1221120 | 3.8458 |
3.51 | 0.03 | 1297440 | 3.8483 |
3.4957 | 1.03 | 1373760 | 3.8493 |
3.481 | 0.03 | 1450080 | 3.8503 |
3.4717 | 1.03 | 1526400 | 3.8522 |
3.462 | 0.03 | 1602720 | 3.8515 |
3.4542 | 1.03 | 1679040 | 3.8540 |
3.4453 | 0.03 | 1755360 | 3.8545 |
3.433 | 1.03 | 1831680 | 3.8568 |
3.4173 | 0.03 | 1908000 | 3.8572 |
3.4063 | 0.03 | 1984320 | 3.8582 |
3.3948 | 1.03 | 2060640 | 3.8601 |
3.3869 | 0.03 | 2136960 | 3.8600 |
3.3774 | 1.03 | 2213280 | 3.8616 |
3.3635 | 0.03 | 2289600 | 3.8610 |
3.3569 | 1.03 | 2365920 | 3.8627 |
3.348 | 0.03 | 2442240 | 3.8634 |
3.3387 | 0.03 | 2518560 | 3.8641 |
3.3283 | 1.03 | 2594880 | 3.8637 |
3.3184 | 0.03 | 2671200 | 3.8642 |
3.313 | 1.03 | 2747520 | 3.8644 |
3.3042 | 0.03 | 2823840 | 3.8639 |
3.3007 | 1.03 | 2900160 | 3.8634 |
3.2948 | 0.03 | 2976480 | 3.8620 |
3.2876 | 1.02 | 3052726 | 3.8614 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3