metadata
tags:
- generated_from_trainer
model-index:
- name: npi-sim-ques-transformer-2
results: []
npi-sim-ques-transformer-2
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.8596
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 |
|---|---|---|---|
| 4.236 | 0.03 | 76320 | 4.1966 |
| 4.0278 | 1.03 | 152640 | 4.0278 |
| 3.9233 | 0.03 | 228960 | 3.9528 |
| 3.8525 | 1.03 | 305280 | 3.9101 |
| 3.7996 | 0.03 | 381600 | 3.8852 |
| 3.76 | 0.03 | 457920 | 3.8693 |
| 3.7243 | 1.03 | 534240 | 3.8584 |
| 3.6919 | 0.03 | 610560 | 3.8520 |
| 3.6631 | 1.03 | 686880 | 3.8469 |
| 3.6379 | 0.03 | 763200 | 3.8443 |
| 3.6153 | 1.03 | 839520 | 3.8424 |
| 3.5968 | 0.03 | 915840 | 3.8410 |
| 3.5729 | 1.03 | 992160 | 3.8428 |
| 3.5536 | 0.03 | 1068480 | 3.8435 |
| 3.5392 | 1.03 | 1144800 | 3.8427 |
| 3.5331 | 0.03 | 1221120 | 3.8431 |
| 3.519 | 1.03 | 1297440 | 3.8451 |
| 3.5032 | 0.03 | 1373760 | 3.8465 |
| 3.4931 | 1.03 | 1450080 | 3.8464 |
| 3.4808 | 0.03 | 1526400 | 3.8482 |
| 3.471 | 1.03 | 1602720 | 3.8491 |
| 3.4641 | 0.03 | 1679040 | 3.8513 |
| 3.454 | 0.03 | 1755360 | 3.8520 |
| 3.4402 | 1.03 | 1831680 | 3.8531 |
| 3.4275 | 0.03 | 1908000 | 3.8550 |
| 3.4157 | 1.03 | 1984320 | 3.8553 |
| 3.406 | 0.03 | 2060640 | 3.8571 |
| 3.395 | 1.03 | 2136960 | 3.8574 |
| 3.3784 | 0.03 | 2213280 | 3.8600 |
| 3.3662 | 1.03 | 2289600 | 3.8591 |
| 3.3576 | 0.03 | 2365920 | 3.8592 |
| 3.355 | 1.03 | 2442240 | 3.8609 |
| 3.3466 | 0.03 | 2518560 | 3.8618 |
| 3.3352 | 1.03 | 2594880 | 3.8626 |
| 3.3291 | 0.03 | 2671200 | 3.8615 |
| 3.3208 | 1.03 | 2747520 | 3.8622 |
| 3.3146 | 0.03 | 2823840 | 3.8622 |
| 3.3096 | 0.03 | 2900160 | 3.8620 |
| 3.3031 | 0.03 | 2976480 | 3.8603 |
| 3.2941 | 1.02 | 3052726 | 3.8596 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3