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---
tags:
- generated_from_trainer
model-index:
- name: passive-lstm-4
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. -->
# passive-lstm-4
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: 3.9775
## 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: 4
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7943 | 0.03 | 76320 | 4.7636 |
| 4.51 | 1.03 | 152640 | 4.4853 |
| 4.3635 | 0.03 | 228960 | 4.3503 |
| 4.2807 | 1.03 | 305280 | 4.2671 |
| 4.2148 | 0.03 | 381600 | 4.2103 |
| 4.1712 | 1.03 | 457920 | 4.1686 |
| 4.1325 | 0.03 | 534240 | 4.1370 |
| 4.0986 | 1.03 | 610560 | 4.1128 |
| 4.0685 | 0.03 | 686880 | 4.0927 |
| 4.0459 | 1.03 | 763200 | 4.0773 |
| 4.0216 | 0.03 | 839520 | 4.0640 |
| 4.0042 | 1.03 | 915840 | 4.0530 |
| 3.9864 | 0.03 | 992160 | 4.0438 |
| 3.9658 | 1.03 | 1068480 | 4.0352 |
| 3.9536 | 0.03 | 1144800 | 4.0290 |
| 3.95 | 1.03 | 1221120 | 4.0227 |
| 3.9383 | 0.03 | 1297440 | 4.0178 |
| 3.9291 | 1.03 | 1373760 | 4.0129 |
| 3.9188 | 0.03 | 1450080 | 4.0091 |
| 3.9176 | 1.03 | 1526400 | 4.0052 |
| 3.9095 | 0.03 | 1602720 | 4.0018 |
| 3.908 | 1.03 | 1679040 | 3.9984 |
| 3.9046 | 0.03 | 1755360 | 3.9954 |
| 3.8984 | 1.03 | 1831680 | 3.9937 |
| 3.8893 | 0.03 | 1908000 | 3.9925 |
| 3.8818 | 1.03 | 1984320 | 3.9906 |
| 3.8744 | 0.03 | 2060640 | 3.9891 |
| 3.8702 | 1.03 | 2136960 | 3.9874 |
| 3.8634 | 0.03 | 2213280 | 3.9859 |
| 3.852 | 1.03 | 2289600 | 3.9847 |
| 3.8476 | 0.03 | 2365920 | 3.9836 |
| 3.8537 | 0.03 | 2442240 | 3.9825 |
| 3.8493 | 0.03 | 2518560 | 3.9814 |
| 3.8468 | 1.03 | 2594880 | 3.9806 |
| 3.8419 | 0.03 | 2671200 | 3.9799 |
| 3.8459 | 1.03 | 2747520 | 3.9792 |
| 3.8445 | 0.03 | 2823840 | 3.9785 |
| 3.8493 | 1.03 | 2900160 | 3.9781 |
| 3.8471 | 0.03 | 2976480 | 3.9776 |
| 3.8445 | 1.02 | 3052726 | 3.9775 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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