File size: 3,314 Bytes
52c5b5f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 |
---
tags:
- generated_from_trainer
model-index:
- name: npi-only-lstm-1
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. -->
# npi-only-lstm-1
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: 3.9692
## 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: 1
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7741 | 0.03 | 76320 | 4.7420 |
| 4.4915 | 1.03 | 152640 | 4.4631 |
| 4.3483 | 0.03 | 228960 | 4.3303 |
| 4.2585 | 1.03 | 305280 | 4.2483 |
| 4.1993 | 0.03 | 381600 | 4.1924 |
| 4.1533 | 0.03 | 457920 | 4.1528 |
| 4.1166 | 1.03 | 534240 | 4.1225 |
| 4.0876 | 0.03 | 610560 | 4.0987 |
| 4.0603 | 1.03 | 686880 | 4.0803 |
| 4.0317 | 0.03 | 763200 | 4.0637 |
| 4.0102 | 1.03 | 839520 | 4.0512 |
| 3.9927 | 0.03 | 915840 | 4.0407 |
| 3.9778 | 1.03 | 992160 | 4.0326 |
| 3.9602 | 0.03 | 1068480 | 4.0247 |
| 3.9465 | 1.03 | 1144800 | 4.0175 |
| 3.9422 | 0.03 | 1221120 | 4.0125 |
| 3.9251 | 1.03 | 1297440 | 4.0065 |
| 3.9181 | 0.03 | 1373760 | 4.0027 |
| 3.9096 | 1.03 | 1450080 | 3.9988 |
| 3.901 | 0.03 | 1526400 | 3.9953 |
| 3.897 | 1.03 | 1602720 | 3.9925 |
| 3.8934 | 0.03 | 1679040 | 3.9896 |
| 3.8898 | 1.03 | 1755360 | 3.9873 |
| 3.8861 | 0.03 | 1831680 | 3.9854 |
| 3.8792 | 1.03 | 1908000 | 3.9838 |
| 3.8721 | 0.03 | 1984320 | 3.9818 |
| 3.8633 | 1.03 | 2060640 | 3.9798 |
| 3.8568 | 0.03 | 2136960 | 3.9786 |
| 3.8528 | 1.03 | 2213280 | 3.9773 |
| 3.8456 | 0.03 | 2289600 | 3.9759 |
| 3.8406 | 1.03 | 2365920 | 3.9750 |
| 3.845 | 0.03 | 2442240 | 3.9736 |
| 3.836 | 1.03 | 2518560 | 3.9728 |
| 3.8344 | 0.03 | 2594880 | 3.9720 |
| 3.8308 | 1.03 | 2671200 | 3.9715 |
| 3.8287 | 0.03 | 2747520 | 3.9709 |
| 3.8306 | 1.03 | 2823840 | 3.9704 |
| 3.83 | 0.03 | 2900160 | 3.9699 |
| 3.8331 | 1.03 | 2976480 | 3.9695 |
| 3.8329 | 0.02 | 3052726 | 3.9692 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
|