metadata
tags:
- generated_from_trainer
model-index:
- name: npi-only-lstm-0
results: []
npi-only-lstm-0
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9716
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 |
---|---|---|---|
4.7901 | 0.03 | 76320 | 4.7559 |
4.504 | 1.03 | 152640 | 4.4747 |
4.3606 | 0.03 | 228960 | 4.3405 |
4.2698 | 1.03 | 305280 | 4.2576 |
4.2099 | 0.03 | 381600 | 4.2008 |
4.1617 | 1.03 | 457920 | 4.1598 |
4.1238 | 0.03 | 534240 | 4.1281 |
4.0951 | 1.03 | 610560 | 4.1041 |
4.0667 | 0.03 | 686880 | 4.0848 |
4.0409 | 1.03 | 763200 | 4.0688 |
4.0202 | 0.03 | 839520 | 4.0563 |
4.0008 | 1.03 | 915840 | 4.0450 |
3.9836 | 0.03 | 992160 | 4.0350 |
3.9693 | 1.03 | 1068480 | 4.0277 |
3.9538 | 0.03 | 1144800 | 4.0212 |
3.953 | 1.03 | 1221120 | 4.0154 |
3.9363 | 0.03 | 1297440 | 4.0106 |
3.9281 | 1.03 | 1373760 | 4.0060 |
3.9175 | 0.03 | 1450080 | 4.0021 |
3.9093 | 1.03 | 1526400 | 3.9987 |
3.9051 | 0.03 | 1602720 | 3.9950 |
3.9007 | 1.03 | 1679040 | 3.9924 |
3.8976 | 0.03 | 1755360 | 3.9900 |
3.8936 | 1.03 | 1831680 | 3.9875 |
3.8884 | 0.03 | 1908000 | 3.9852 |
3.8794 | 1.03 | 1984320 | 3.9837 |
3.873 | 0.03 | 2060640 | 3.9819 |
3.868 | 1.03 | 2136960 | 3.9806 |
3.8618 | 0.03 | 2213280 | 3.9795 |
3.856 | 0.03 | 2289600 | 3.9782 |
3.852 | 1.03 | 2365920 | 3.9774 |
3.8583 | 0.03 | 2442240 | 3.9764 |
3.8458 | 1.03 | 2518560 | 3.9755 |
3.8454 | 0.03 | 2594880 | 3.9747 |
3.8409 | 1.03 | 2671200 | 3.9740 |
3.8376 | 0.03 | 2747520 | 3.9735 |
3.8394 | 1.03 | 2823840 | 3.9729 |
3.8386 | 0.03 | 2900160 | 3.9722 |
3.8412 | 1.03 | 2976480 | 3.9719 |
3.8417 | 0.02 | 3052726 | 3.9716 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3