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---
tags:
- generated_from_trainer
model-index:
- name: pp-mod-subj2-lstm-3
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. -->
# pp-mod-subj2-lstm-3
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: 4.0236
## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7998 | 0.03 | 76320 | 4.8120 |
| 4.5096 | 1.03 | 152640 | 4.5251 |
| 4.3616 | 0.03 | 228960 | 4.3905 |
| 4.2752 | 1.03 | 305280 | 4.3081 |
| 4.2147 | 0.03 | 381600 | 4.2510 |
| 4.1606 | 1.03 | 457920 | 4.2100 |
| 4.121 | 2.03 | 534240 | 4.1801 |
| 4.0874 | 0.03 | 610560 | 4.1569 |
| 4.0594 | 1.03 | 686880 | 4.1368 |
| 4.0388 | 0.03 | 763200 | 4.1216 |
| 4.016 | 1.03 | 839520 | 4.1087 |
| 4.0008 | 2.03 | 915840 | 4.0984 |
| 3.9863 | 0.03 | 992160 | 4.0888 |
| 3.9719 | 1.03 | 1068480 | 4.0808 |
| 3.9568 | 2.03 | 1144800 | 4.0741 |
| 3.9403 | 0.03 | 1221120 | 4.0691 |
| 3.9322 | 1.03 | 1297440 | 4.0641 |
| 3.9259 | 2.03 | 1373760 | 4.0599 |
| 3.9149 | 0.03 | 1450080 | 4.0563 |
| 3.9133 | 1.03 | 1526400 | 4.0523 |
| 3.9093 | 2.03 | 1602720 | 4.0500 |
| 3.8988 | 0.03 | 1679040 | 4.0472 |
| 3.8926 | 1.03 | 1755360 | 4.0448 |
| 3.8832 | 2.03 | 1831680 | 4.0416 |
| 3.8768 | 0.03 | 1908000 | 4.0403 |
| 3.8735 | 1.03 | 1984320 | 4.0384 |
| 3.8645 | 2.03 | 2060640 | 4.0364 |
| 3.8607 | 0.03 | 2136960 | 4.0340 |
| 3.8578 | 1.03 | 2213280 | 4.0319 |
| 3.8554 | 0.03 | 2289600 | 4.0308 |
| 3.848 | 1.03 | 2365920 | 4.0301 |
| 3.843 | 0.03 | 2442240 | 4.0291 |
| 3.8407 | 0.03 | 2518560 | 4.0285 |
| 3.839 | 1.03 | 2594880 | 4.0277 |
| 3.8342 | 0.03 | 2671200 | 4.0266 |
| 3.8362 | 1.03 | 2747520 | 4.0257 |
| 3.8409 | 0.03 | 2823840 | 4.0250 |
| 3.8346 | 1.03 | 2900160 | 4.0244 |
| 3.8314 | 0.03 | 2976480 | 4.0241 |
| 3.8276 | 1.02 | 3052726 | 4.0236 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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