|
--- |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: existential-there-quantifier-lstm-1 |
|
results: [] |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# existential-there-quantifier-lstm-1 |
|
|
|
This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 3.9707 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:-------:|:---------------:| |
|
| 4.7869 | 0.03 | 76320 | 4.7523 | |
|
| 4.5021 | 1.03 | 152640 | 4.4735 | |
|
| 4.3565 | 0.03 | 228960 | 4.3382 | |
|
| 4.2703 | 1.03 | 305280 | 4.2550 | |
|
| 4.207 | 0.03 | 381600 | 4.1988 | |
|
| 4.1597 | 1.03 | 457920 | 4.1581 | |
|
| 4.1214 | 0.03 | 534240 | 4.1265 | |
|
| 4.087 | 1.03 | 610560 | 4.1024 | |
|
| 4.0579 | 0.03 | 686880 | 4.0837 | |
|
| 4.0324 | 1.03 | 763200 | 4.0681 | |
|
| 4.0127 | 0.03 | 839520 | 4.0550 | |
|
| 3.9967 | 1.03 | 915840 | 4.0433 | |
|
| 3.9826 | 0.03 | 992160 | 4.0345 | |
|
| 3.9648 | 0.03 | 1068480 | 4.0267 | |
|
| 3.9536 | 1.03 | 1144800 | 4.0200 | |
|
| 3.9427 | 0.03 | 1221120 | 4.0140 | |
|
| 3.9321 | 0.03 | 1297440 | 4.0089 | |
|
| 3.9207 | 1.03 | 1373760 | 4.0047 | |
|
| 3.9104 | 0.03 | 1450080 | 4.0004 | |
|
| 3.9059 | 1.03 | 1526400 | 3.9965 | |
|
| 3.9015 | 0.03 | 1602720 | 3.9936 | |
|
| 3.8966 | 1.03 | 1679040 | 3.9912 | |
|
| 3.8904 | 0.03 | 1755360 | 3.9888 | |
|
| 3.8823 | 1.03 | 1831680 | 3.9863 | |
|
| 3.8772 | 0.03 | 1908000 | 3.9844 | |
|
| 3.8681 | 0.03 | 1984320 | 3.9819 | |
|
| 3.8644 | 1.03 | 2060640 | 3.9805 | |
|
| 3.861 | 0.03 | 2136960 | 3.9793 | |
|
| 3.8578 | 1.03 | 2213280 | 3.9780 | |
|
| 3.8507 | 0.03 | 2289600 | 3.9769 | |
|
| 3.8499 | 1.03 | 2365920 | 3.9759 | |
|
| 3.8477 | 0.03 | 2442240 | 3.9749 | |
|
| 3.8431 | 1.03 | 2518560 | 3.9742 | |
|
| 3.8386 | 0.03 | 2594880 | 3.9735 | |
|
| 3.8348 | 0.03 | 2671200 | 3.9727 | |
|
| 3.8369 | 0.03 | 2747520 | 3.9720 | |
|
| 3.8354 | 1.03 | 2823840 | 3.9718 | |
|
| 3.8366 | 0.03 | 2900160 | 3.9713 | |
|
| 3.8366 | 1.03 | 2976480 | 3.9710 | |
|
| 3.8324 | 0.02 | 3052726 | 3.9707 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.33.3 |
|
- Pytorch 2.0.1 |
|
- Datasets 2.12.0 |
|
- Tokenizers 0.13.3 |
|
|
