metadata
tags:
- generated_from_trainer
model-index:
- name: passive-lstm-3
results: []
passive-lstm-3
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9758
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: 3
- 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 |
|---|---|---|---|
| 4.7862 | 0.03 | 76320 | 4.7540 |
| 4.5018 | 1.03 | 152640 | 4.4769 |
| 4.3581 | 0.03 | 228960 | 4.3442 |
| 4.2765 | 1.03 | 305280 | 4.2620 |
| 4.2091 | 0.03 | 381600 | 4.2051 |
| 4.165 | 1.03 | 457920 | 4.1646 |
| 4.1287 | 0.03 | 534240 | 4.1337 |
| 4.0943 | 1.03 | 610560 | 4.1093 |
| 4.0646 | 0.03 | 686880 | 4.0900 |
| 4.0398 | 1.03 | 763200 | 4.0745 |
| 4.0153 | 0.03 | 839520 | 4.0605 |
| 4.0 | 1.03 | 915840 | 4.0496 |
| 3.9807 | 0.03 | 992160 | 4.0402 |
| 3.9611 | 1.03 | 1068480 | 4.0328 |
| 3.95 | 0.03 | 1144800 | 4.0260 |
| 3.944 | 0.03 | 1221120 | 4.0201 |
| 3.9343 | 1.03 | 1297440 | 4.0151 |
| 3.9249 | 0.03 | 1373760 | 4.0100 |
| 3.9123 | 1.03 | 1450080 | 4.0060 |
| 3.9137 | 0.03 | 1526400 | 4.0030 |
| 3.9056 | 1.03 | 1602720 | 3.9993 |
| 3.9041 | 0.03 | 1679040 | 3.9967 |
| 3.899 | 1.03 | 1755360 | 3.9946 |
| 3.8906 | 0.03 | 1831680 | 3.9923 |
| 3.8842 | 1.03 | 1908000 | 3.9901 |
| 3.877 | 0.03 | 1984320 | 3.9888 |
| 3.871 | 1.03 | 2060640 | 3.9871 |
| 3.867 | 0.03 | 2136960 | 3.9856 |
| 3.8583 | 1.03 | 2213280 | 3.9843 |
| 3.8468 | 0.03 | 2289600 | 3.9828 |
| 3.845 | 1.03 | 2365920 | 3.9818 |
| 3.8488 | 0.03 | 2442240 | 3.9806 |
| 3.8449 | 1.03 | 2518560 | 3.9798 |
| 3.8408 | 0.03 | 2594880 | 3.9789 |
| 3.8354 | 1.03 | 2671200 | 3.9783 |
| 3.842 | 0.03 | 2747520 | 3.9775 |
| 3.8387 | 1.03 | 2823840 | 3.9769 |
| 3.8414 | 0.03 | 2900160 | 3.9766 |
| 3.8397 | 1.03 | 2976480 | 3.9761 |
| 3.8394 | 0.02 | 3052726 | 3.9758 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3