Downloads · 30 days
7
2% of all-time downloads
npi-sim-ques-lstm-3
CLMBR/npi-sim-ques-lstm-3
npi-sim-ques-lstm-3 is a machine learning model from CLMBR. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
337
Public
Repo size
32.7 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt21.8 GB · 66%
At a glance
- Library
- transformers
- Model type
- rnn
- Access
- Public
- Created
- Jan 19, 2024
- Updated
- Jan 25, 2024
- SHA
- bb2fe566
Model card
From the Hugging Face model README
<!-- 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-sim-ques-lstm-3
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9715
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 |
|---|---|---|---|
| 4.8041 | 0.03 | 76320 | 4.7586 |
| 4.5148 | 1.03 | 152640 | 4.4771 |
| 4.3758 | 0.03 | 228960 | 4.3429 |
| 4.286 | 1.03 | 305280 | 4.2606 |
| 4.2235 | 0.03 | 381600 | 4.2032 |
| 4.1769 | 1.03 | 457920 | 4.1622 |
| 4.1388 | 0.03 | 534240 | 4.1311 |
| 4.1054 | 1.03 | 610560 | 4.1065 |
| 4.0766 | 0.03 | 686880 | 4.0882 |
| 4.0509 | 1.03 | 763200 | 4.0714 |
| 4.0307 | 0.03 | 839520 | 4.0580 |
| 4.0163 | 1.03 | 915840 | 4.0468 |
| 3.9939 | 0.03 | 992160 | 4.0374 |
| 3.9762 | 0.03 | 1068480 | 4.0297 |
| 3.9649 | 1.03 | 1144800 | 4.0224 |
| 3.9597 | 0.03 | 1221120 | 4.0163 |
| 3.9488 | 1.03 | 1297440 | 4.0111 |
| 3.9365 | 0.03 | 1373760 | 4.0063 |
| 3.9318 | 1.03 | 1450080 | 4.0024 |
| 3.9244 | 0.03 | 1526400 | 3.9980 |
| 3.9184 | 1.03 | 1602720 | 3.9953 |
| 3.9142 | 0.03 | 1679040 | 3.9931 |
| 3.9091 | 1.03 | 1755360 | 3.9907 |
| 3.9024 | 0.03 | 1831680 | 3.9885 |
| 3.8957 | 1.03 | 1908000 | 3.9863 |
| 3.8879 | 0.03 | 1984320 | 3.9844 |
| 3.8829 | 1.03 | 2060640 | 3.9828 |
| 3.8797 | 0.03 | 2136960 | 3.9809 |
| 3.8701 | 1.03 | 2213280 | 3.9796 |
| 3.8611 | 0.03 | 2289600 | 3.9784 |
| 3.8603 | 0.03 | 2365920 | 3.9774 |
| 3.8637 | 1.03 | 2442240 | 3.9764 |
| 3.8601 | 0.03 | 2518560 | 3.9757 |
| 3.8531 | 0.03 | 2594880 | 3.9747 |
| 3.855 | 0.03 | 2671200 | 3.9740 |
| 3.8516 | 1.03 | 2747520 | 3.9734 |
| 3.8512 | 0.03 | 2823840 | 3.9728 |
| 3.852 | 0.03 | 2900160 | 3.9722 |
| 3.8529 | 1.03 | 2976480 | 3.9717 |
| 3.8489 | 0.02 | 3052726 | 3.9715 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- rnn
- Created
- Jan 19, 2024
- Updated
- Jan 25, 2024