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---
tags:
- generated_from_trainer
model-index:
- name: binding-domain-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. -->
# binding-domain-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: 3.9699
## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7862 | 0.03 | 76320 | 4.7490 |
| 4.5033 | 1.03 | 152640 | 4.4718 |
| 4.3621 | 0.03 | 228960 | 4.3375 |
| 4.2771 | 1.03 | 305280 | 4.2549 |
| 4.2156 | 0.03 | 381600 | 4.1983 |
| 4.1699 | 1.03 | 457920 | 4.1582 |
| 4.1302 | 0.03 | 534240 | 4.1273 |
| 4.0971 | 1.03 | 610560 | 4.1029 |
| 4.0699 | 0.03 | 686880 | 4.0839 |
| 4.0479 | 1.03 | 763200 | 4.0686 |
| 4.0271 | 0.03 | 839520 | 4.0558 |
| 4.011 | 0.03 | 915840 | 4.0446 |
| 3.9945 | 1.03 | 992160 | 4.0362 |
| 3.9758 | 0.03 | 1068480 | 4.0277 |
| 3.965 | 1.03 | 1144800 | 4.0209 |
| 3.9495 | 0.03 | 1221120 | 4.0152 |
| 3.9368 | 1.03 | 1297440 | 4.0103 |
| 3.9259 | 0.03 | 1373760 | 4.0055 |
| 3.9195 | 1.03 | 1450080 | 4.0012 |
| 3.9172 | 0.03 | 1526400 | 3.9978 |
| 3.9128 | 1.03 | 1602720 | 3.9946 |
| 3.9092 | 0.03 | 1679040 | 3.9919 |
| 3.9022 | 1.03 | 1755360 | 3.9895 |
| 3.8968 | 0.03 | 1831680 | 3.9873 |
| 3.8901 | 1.03 | 1908000 | 3.9852 |
| 3.8836 | 0.03 | 1984320 | 3.9835 |
| 3.8778 | 1.03 | 2060640 | 3.9819 |
| 3.876 | 0.03 | 2136960 | 3.9803 |
| 3.8693 | 1.03 | 2213280 | 3.9786 |
| 3.8607 | 0.03 | 2289600 | 3.9772 |
| 3.8579 | 1.03 | 2365920 | 3.9760 |
| 3.8521 | 0.03 | 2442240 | 3.9750 |
| 3.8445 | 1.03 | 2518560 | 3.9739 |
| 3.8406 | 0.03 | 2594880 | 3.9733 |
| 3.8394 | 1.03 | 2671200 | 3.9727 |
| 3.8421 | 0.03 | 2747520 | 3.9718 |
| 3.8447 | 1.03 | 2823840 | 3.9712 |
| 3.8463 | 0.03 | 2900160 | 3.9707 |
| 3.8447 | 1.03 | 2976480 | 3.9702 |
| 3.8428 | 0.02 | 3052726 | 3.9699 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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