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---
tags:
- generated_from_trainer
model-index:
- name: det-noun-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. -->
# det-noun-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: 3.9717
## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.8048 | 0.03 | 76320 | 4.7692 |
| 4.5159 | 1.03 | 152640 | 4.4852 |
| 4.3691 | 0.03 | 228960 | 4.3476 |
| 4.2797 | 1.03 | 305280 | 4.2637 |
| 4.2204 | 0.03 | 381600 | 4.2065 |
| 4.1733 | 1.03 | 457920 | 4.1648 |
| 4.1326 | 0.03 | 534240 | 4.1336 |
| 4.0967 | 1.03 | 610560 | 4.1082 |
| 4.0679 | 0.03 | 686880 | 4.0879 |
| 4.0421 | 1.03 | 763200 | 4.0721 |
| 4.0218 | 0.03 | 839520 | 4.0580 |
| 4.0062 | 1.03 | 915840 | 4.0475 |
| 3.9891 | 0.03 | 992160 | 4.0381 |
| 3.9682 | 0.03 | 1068480 | 4.0299 |
| 3.9583 | 1.03 | 1144800 | 4.0224 |
| 3.9536 | 0.03 | 1221120 | 4.0173 |
| 3.9398 | 1.03 | 1297440 | 4.0119 |
| 3.9296 | 0.03 | 1373760 | 4.0071 |
| 3.9182 | 1.03 | 1450080 | 4.0036 |
| 3.9138 | 0.03 | 1526400 | 4.0002 |
| 3.9124 | 1.03 | 1602720 | 3.9966 |
| 3.9072 | 0.03 | 1679040 | 3.9941 |
| 3.9015 | 1.03 | 1755360 | 3.9915 |
| 3.8912 | 0.03 | 1831680 | 3.9895 |
| 3.8851 | 1.03 | 1908000 | 3.9876 |
| 3.8767 | 0.03 | 1984320 | 3.9853 |
| 3.8708 | 0.03 | 2060640 | 3.9833 |
| 3.8676 | 1.03 | 2136960 | 3.9817 |
| 3.8631 | 0.03 | 2213280 | 3.9802 |
| 3.8513 | 1.03 | 2289600 | 3.9791 |
| 3.8494 | 0.03 | 2365920 | 3.9776 |
| 3.8548 | 1.03 | 2442240 | 3.9767 |
| 3.8471 | 0.03 | 2518560 | 3.9757 |
| 3.8443 | 0.03 | 2594880 | 3.9748 |
| 3.8389 | 1.03 | 2671200 | 3.9741 |
| 3.8405 | 0.03 | 2747520 | 3.9735 |
| 3.8435 | 1.03 | 2823840 | 3.9728 |
| 3.844 | 0.03 | 2900160 | 3.9724 |
| 3.8434 | 0.03 | 2976480 | 3.9719 |
| 3.8385 | 0.02 | 3052726 | 3.9717 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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