|
--- |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: superlative-quantifier-lstm-2 |
|
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. --> |
|
|
|
# superlative-quantifier-lstm-2 |
|
|
|
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: 3.9856 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:-------:|:---------------:| |
|
| 4.7739 | 0.03 | 76320 | 4.7591 | |
|
| 4.4948 | 1.03 | 152640 | 4.4813 | |
|
| 4.3521 | 0.03 | 228960 | 4.3474 | |
|
| 4.2673 | 1.03 | 305280 | 4.2657 | |
|
| 4.2044 | 0.03 | 381600 | 4.2106 | |
|
| 4.1584 | 1.03 | 457920 | 4.1697 | |
|
| 4.1237 | 0.03 | 534240 | 4.1397 | |
|
| 4.0937 | 1.03 | 610560 | 4.1153 | |
|
| 4.0646 | 0.03 | 686880 | 4.0961 | |
|
| 4.0397 | 1.03 | 763200 | 4.0802 | |
|
| 4.0188 | 0.03 | 839520 | 4.0677 | |
|
| 3.9979 | 1.03 | 915840 | 4.0576 | |
|
| 3.9875 | 0.03 | 992160 | 4.0478 | |
|
| 3.9694 | 1.03 | 1068480 | 4.0406 | |
|
| 3.9548 | 0.03 | 1144800 | 4.0342 | |
|
| 3.9407 | 0.03 | 1221120 | 4.0289 | |
|
| 3.9259 | 1.03 | 1297440 | 4.0236 | |
|
| 3.9208 | 2.03 | 1373760 | 4.0188 | |
|
| 3.9086 | 0.03 | 1450080 | 4.0158 | |
|
| 3.9049 | 1.03 | 1526400 | 4.0122 | |
|
| 3.9024 | 2.03 | 1602720 | 4.0090 | |
|
| 3.8964 | 0.03 | 1679040 | 4.0069 | |
|
| 3.8947 | 0.03 | 1755360 | 4.0043 | |
|
| 3.8923 | 0.03 | 1831680 | 4.0024 | |
|
| 3.8834 | 0.03 | 1908000 | 4.0003 | |
|
| 3.8735 | 1.03 | 1984320 | 3.9990 | |
|
| 3.8695 | 0.03 | 2060640 | 3.9974 | |
|
| 3.8628 | 1.03 | 2136960 | 3.9960 | |
|
| 3.8635 | 2.03 | 2213280 | 3.9948 | |
|
| 3.8567 | 0.03 | 2289600 | 3.9936 | |
|
| 3.8478 | 1.03 | 2365920 | 3.9924 | |
|
| 3.8426 | 2.03 | 2442240 | 3.9914 | |
|
| 3.8355 | 0.03 | 2518560 | 3.9904 | |
|
| 3.8351 | 0.03 | 2594880 | 3.9893 | |
|
| 3.8282 | 1.03 | 2671200 | 3.9884 | |
|
| 3.8322 | 2.03 | 2747520 | 3.9875 | |
|
| 3.8311 | 0.03 | 2823840 | 3.9872 | |
|
| 3.8322 | 0.03 | 2900160 | 3.9865 | |
|
| 3.8356 | 1.03 | 2976480 | 3.9860 | |
|
| 3.8367 | 2.02 | 3052726 | 3.9856 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.33.3 |
|
- Pytorch 2.0.1 |
|
- Datasets 2.12.0 |
|
- Tokenizers 0.13.3 |
|
|
