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npi-only-lstm-2
CLMBR/npi-only-lstm-2
npi-only-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. --
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At a glance
- Library
- transformers
- Model type
- rnn
- Access
- Public
- Created
- Jan 18, 2024
- Updated
- Jan 22, 2024
- SHA
- 2c24f666
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-only-lstm-2
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9736
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 |
|---|---|---|---|
| 4.8029 | 0.03 | 76320 | 4.7703 |
| 4.5143 | 1.03 | 152640 | 4.4846 |
| 4.3681 | 0.03 | 228960 | 4.3478 |
| 4.278 | 1.03 | 305280 | 4.2635 |
| 4.216 | 0.03 | 381600 | 4.2065 |
| 4.1673 | 1.03 | 457920 | 4.1652 |
| 4.1305 | 0.03 | 534240 | 4.1336 |
| 4.1009 | 1.03 | 610560 | 4.1090 |
| 4.072 | 0.03 | 686880 | 4.0897 |
| 4.0456 | 1.03 | 763200 | 4.0734 |
| 4.0221 | 0.03 | 839520 | 4.0599 |
| 4.004 | 1.03 | 915840 | 4.0494 |
| 3.989 | 0.03 | 992160 | 4.0406 |
| 3.972 | 1.03 | 1068480 | 4.0324 |
| 3.957 | 0.03 | 1144800 | 4.0258 |
| 3.9552 | 1.03 | 1221120 | 4.0200 |
| 3.939 | 0.03 | 1297440 | 4.0145 |
| 3.9295 | 1.03 | 1373760 | 4.0097 |
| 3.92 | 0.03 | 1450080 | 4.0060 |
| 3.9116 | 1.03 | 1526400 | 4.0022 |
| 3.9078 | 0.03 | 1602720 | 3.9989 |
| 3.902 | 0.03 | 1679040 | 3.9949 |
| 3.8983 | 1.03 | 1755360 | 3.9923 |
| 3.8939 | 0.03 | 1831680 | 3.9896 |
| 3.8878 | 1.03 | 1908000 | 3.9879 |
| 3.8797 | 0.03 | 1984320 | 3.9860 |
| 3.8705 | 1.03 | 2060640 | 3.9840 |
| 3.8649 | 0.03 | 2136960 | 3.9826 |
| 3.8623 | 1.03 | 2213280 | 3.9813 |
| 3.8555 | 0.03 | 2289600 | 3.9799 |
| 3.8494 | 1.03 | 2365920 | 3.9790 |
| 3.8561 | 0.03 | 2442240 | 3.9782 |
| 3.8472 | 1.03 | 2518560 | 3.9773 |
| 3.8448 | 0.03 | 2594880 | 3.9766 |
| 3.8419 | 1.03 | 2671200 | 3.9760 |
| 3.8398 | 0.03 | 2747520 | 3.9753 |
| 3.842 | 1.03 | 2823840 | 3.9746 |
| 3.8406 | 0.03 | 2900160 | 3.9742 |
| 3.8414 | 1.03 | 2976480 | 3.9738 |
| 3.8422 | 0.02 | 3052726 | 3.9736 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- rnn
- Created
- Jan 18, 2024
- Updated
- Jan 22, 2024