Downloads · 30 days
44
40% of all-time downloads
passive-lstm-2
CLMBR/passive-lstm-2
passive-lstm-2 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
111
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 29, 2024
- Updated
- Feb 5, 2024
- SHA
- 22faef6d
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. -->
passive-lstm-2
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9742
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 |
|---|---|---|---|
| 4.7721 | 0.03 | 76320 | 4.7403 |
| 4.4938 | 1.03 | 152640 | 4.4686 |
| 4.3497 | 0.03 | 228960 | 4.3374 |
| 4.2699 | 0.03 | 305280 | 4.2560 |
| 4.2042 | 1.03 | 381600 | 4.2005 |
| 4.1597 | 0.03 | 457920 | 4.1602 |
| 4.1213 | 0.03 | 534240 | 4.1284 |
| 4.0881 | 1.03 | 610560 | 4.1051 |
| 4.058 | 0.03 | 686880 | 4.0860 |
| 4.0344 | 1.03 | 763200 | 4.0706 |
| 4.0105 | 0.03 | 839520 | 4.0573 |
| 3.9935 | 1.03 | 915840 | 4.0466 |
| 3.9739 | 0.03 | 992160 | 4.0379 |
| 3.9532 | 1.03 | 1068480 | 4.0302 |
| 3.9432 | 0.03 | 1144800 | 4.0231 |
| 3.939 | 1.03 | 1221120 | 4.0177 |
| 3.9282 | 0.03 | 1297440 | 4.0131 |
| 3.9195 | 1.03 | 1373760 | 4.0090 |
| 3.9069 | 0.03 | 1450080 | 4.0045 |
| 3.9075 | 1.03 | 1526400 | 4.0009 |
| 3.8977 | 0.03 | 1602720 | 3.9981 |
| 3.8977 | 1.03 | 1679040 | 3.9952 |
| 3.892 | 0.03 | 1755360 | 3.9930 |
| 3.8848 | 1.03 | 1831680 | 3.9905 |
| 3.8757 | 0.03 | 1908000 | 3.9878 |
| 3.8689 | 1.03 | 1984320 | 3.9858 |
| 3.8612 | 0.03 | 2060640 | 3.9842 |
| 3.8576 | 1.03 | 2136960 | 3.9836 |
| 3.8501 | 0.03 | 2213280 | 3.9823 |
| 3.8404 | 1.03 | 2289600 | 3.9811 |
| 3.8371 | 0.03 | 2365920 | 3.9803 |
| 3.8437 | 1.03 | 2442240 | 3.9792 |
| 3.8388 | 0.03 | 2518560 | 3.9781 |
| 3.8353 | 0.03 | 2594880 | 3.9776 |
| 3.8294 | 0.03 | 2671200 | 3.9766 |
| 3.8363 | 1.03 | 2747520 | 3.9760 |
| 3.8327 | 0.03 | 2823840 | 3.9755 |
| 3.8355 | 0.03 | 2900160 | 3.9750 |
| 3.8333 | 1.03 | 2976480 | 3.9745 |
| 3.8312 | 0.02 | 3052726 | 3.9742 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- rnn
- Created
- Jan 29, 2024
- Updated
- Feb 5, 2024