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det-adj-noun-lstm-3
CLMBR/det-adj-noun-lstm-3
det-adj-noun-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. --
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At a glance
- Library
- transformers
- Model type
- rnn
- Access
- Public
- Created
- Jan 27, 2024
- Updated
- Feb 3, 2024
- SHA
- 2598a0a9
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. -->
det-adj-noun-lstm-3
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9729
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 |
|---|---|---|---|
| 4.7865 | 0.03 | 76320 | 4.7655 |
| 4.5014 | 1.03 | 152640 | 4.4803 |
| 4.357 | 0.03 | 228960 | 4.3448 |
| 4.2746 | 1.03 | 305280 | 4.2627 |
| 4.2134 | 0.03 | 381600 | 4.2055 |
| 4.1681 | 1.03 | 457920 | 4.1649 |
| 4.1319 | 0.03 | 534240 | 4.1338 |
| 4.0967 | 0.03 | 610560 | 4.1083 |
| 4.0688 | 1.03 | 686880 | 4.0887 |
| 4.0435 | 0.03 | 763200 | 4.0728 |
| 4.0213 | 1.03 | 839520 | 4.0602 |
| 4.007 | 0.03 | 915840 | 4.0491 |
| 3.9926 | 0.03 | 992160 | 4.0395 |
| 3.9758 | 1.03 | 1068480 | 4.0313 |
| 3.9616 | 0.03 | 1144800 | 4.0245 |
| 3.9443 | 1.03 | 1221120 | 4.0189 |
| 3.929 | 0.03 | 1297440 | 4.0137 |
| 3.9226 | 1.03 | 1373760 | 4.0093 |
| 3.913 | 0.03 | 1450080 | 4.0050 |
| 3.9104 | 1.03 | 1526400 | 4.0012 |
| 3.9075 | 0.03 | 1602720 | 3.9980 |
| 3.9042 | 1.03 | 1679040 | 3.9953 |
| 3.9012 | 0.03 | 1755360 | 3.9925 |
| 3.8945 | 0.03 | 1831680 | 3.9904 |
| 3.8853 | 1.03 | 1908000 | 3.9881 |
| 3.8797 | 0.03 | 1984320 | 3.9867 |
| 3.8727 | 1.03 | 2060640 | 3.9846 |
| 3.8701 | 0.03 | 2136960 | 3.9831 |
| 3.8683 | 1.03 | 2213280 | 3.9813 |
| 3.8597 | 0.03 | 2289600 | 3.9802 |
| 3.8565 | 1.03 | 2365920 | 3.9789 |
| 3.8453 | 0.03 | 2442240 | 3.9779 |
| 3.8402 | 1.03 | 2518560 | 3.9768 |
| 3.839 | 0.03 | 2594880 | 3.9759 |
| 3.8357 | 1.03 | 2671200 | 3.9754 |
| 3.8394 | 0.03 | 2747520 | 3.9748 |
| 3.841 | 1.03 | 2823840 | 3.9741 |
| 3.8421 | 0.03 | 2900160 | 3.9737 |
| 3.8454 | 1.03 | 2976480 | 3.9732 |
| 3.8433 | 0.02 | 3052726 | 3.9729 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- rnn
- Created
- Jan 27, 2024
- Updated
- Feb 3, 2024