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---
tags:
- generated_from_trainer
model-index:
- name: full2-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. -->
# full2-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: 3.9723
## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7959 | 0.03 | 76320 | 4.7638 |
| 4.5079 | 1.03 | 152640 | 4.4815 |
| 4.3625 | 0.03 | 228960 | 4.3450 |
| 4.2769 | 1.03 | 305280 | 4.2616 |
| 4.2133 | 0.03 | 381600 | 4.2046 |
| 4.167 | 0.03 | 457920 | 4.1638 |
| 4.1327 | 0.03 | 534240 | 4.1323 |
| 4.1009 | 1.03 | 610560 | 4.1073 |
| 4.0712 | 0.03 | 686880 | 4.0878 |
| 4.0477 | 1.03 | 763200 | 4.0715 |
| 4.0282 | 0.03 | 839520 | 4.0582 |
| 4.0086 | 1.03 | 915840 | 4.0472 |
| 3.9979 | 0.03 | 992160 | 4.0375 |
| 3.9819 | 1.03 | 1068480 | 4.0296 |
| 3.9663 | 0.03 | 1144800 | 4.0231 |
| 3.9521 | 1.03 | 1221120 | 4.0175 |
| 3.9375 | 0.03 | 1297440 | 4.0120 |
| 3.929 | 1.03 | 1373760 | 4.0072 |
| 3.9164 | 0.03 | 1450080 | 4.0034 |
| 3.9149 | 1.03 | 1526400 | 3.9997 |
| 3.9088 | 0.03 | 1602720 | 3.9969 |
| 3.9042 | 1.03 | 1679040 | 3.9941 |
| 3.9046 | 0.03 | 1755360 | 3.9915 |
| 3.8983 | 1.03 | 1831680 | 3.9891 |
| 3.8929 | 0.03 | 1908000 | 3.9868 |
| 3.8857 | 1.03 | 1984320 | 3.9849 |
| 3.8807 | 0.03 | 2060640 | 3.9831 |
| 3.8737 | 0.03 | 2136960 | 3.9818 |
| 3.8729 | 1.03 | 2213280 | 3.9802 |
| 3.8669 | 0.03 | 2289600 | 3.9789 |
| 3.8603 | 0.03 | 2365920 | 3.9781 |
| 3.8562 | 1.03 | 2442240 | 3.9771 |
| 3.8473 | 0.03 | 2518560 | 3.9763 |
| 3.8437 | 1.03 | 2594880 | 3.9755 |
| 3.8393 | 0.03 | 2671200 | 3.9749 |
| 3.8432 | 0.03 | 2747520 | 3.9742 |
| 3.8431 | 1.03 | 2823840 | 3.9735 |
| 3.8439 | 0.03 | 2900160 | 3.9730 |
| 3.8476 | 1.03 | 2976480 | 3.9726 |
| 3.8466 | 0.02 | 3052726 | 3.9723 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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