metadata
tags:
- generated_from_trainer
model-index:
- name: npi-sim-ques-transformer-0
results: []
npi-sim-ques-transformer-0
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.8645
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: 0
- 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 |
|---|---|---|---|
| 4.2355 | 0.03 | 76320 | 4.1957 |
| 4.0283 | 1.03 | 152640 | 4.0271 |
| 3.9226 | 0.03 | 228960 | 3.9523 |
| 3.8525 | 1.03 | 305280 | 3.9112 |
| 3.7987 | 0.03 | 381600 | 3.8874 |
| 3.7585 | 0.03 | 457920 | 3.8707 |
| 3.7256 | 1.03 | 534240 | 3.8600 |
| 3.6925 | 0.03 | 610560 | 3.8526 |
| 3.6629 | 1.03 | 686880 | 3.8489 |
| 3.638 | 0.03 | 763200 | 3.8461 |
| 3.6149 | 1.03 | 839520 | 3.8438 |
| 3.5961 | 0.03 | 915840 | 3.8432 |
| 3.5736 | 1.03 | 992160 | 3.8439 |
| 3.5512 | 0.03 | 1068480 | 3.8437 |
| 3.5368 | 1.03 | 1144800 | 3.8446 |
| 3.5316 | 0.03 | 1221120 | 3.8466 |
| 3.5167 | 1.03 | 1297440 | 3.8475 |
| 3.5006 | 0.03 | 1373760 | 3.8494 |
| 3.4911 | 1.03 | 1450080 | 3.8496 |
| 3.4783 | 0.03 | 1526400 | 3.8520 |
| 3.4688 | 1.03 | 1602720 | 3.8533 |
| 3.4614 | 0.03 | 1679040 | 3.8556 |
| 3.4521 | 0.03 | 1755360 | 3.8569 |
| 3.439 | 1.03 | 1831680 | 3.8583 |
| 3.4277 | 0.03 | 1908000 | 3.8584 |
| 3.4129 | 1.03 | 1984320 | 3.8603 |
| 3.4039 | 0.03 | 2060640 | 3.8618 |
| 3.3952 | 1.03 | 2136960 | 3.8636 |
| 3.38 | 0.03 | 2213280 | 3.8643 |
| 3.3646 | 1.03 | 2289600 | 3.8643 |
| 3.358 | 0.03 | 2365920 | 3.8663 |
| 3.3554 | 1.03 | 2442240 | 3.8673 |
| 3.3451 | 0.03 | 2518560 | 3.8676 |
| 3.3336 | 1.03 | 2594880 | 3.8677 |
| 3.3289 | 0.03 | 2671200 | 3.8682 |
| 3.3191 | 1.03 | 2747520 | 3.8673 |
| 3.3109 | 0.03 | 2823840 | 3.8671 |
| 3.3068 | 1.03 | 2900160 | 3.8667 |
| 3.3028 | 0.03 | 2976480 | 3.8658 |
| 3.2929 | 0.02 | 3052726 | 3.8645 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3