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---
tags:
- generated_from_trainer
model-index:
- name: binding-case-transformer-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. -->
# binding-case-transformer-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: 3.8636
## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2157 | 0.03 | 76320 | 4.1883 |
| 4.0128 | 1.03 | 152640 | 4.0226 |
| 3.9058 | 0.03 | 228960 | 3.9491 |
| 3.8369 | 1.03 | 305280 | 3.9090 |
| 3.7874 | 0.03 | 381600 | 3.8846 |
| 3.746 | 0.03 | 457920 | 3.8693 |
| 3.7159 | 1.03 | 534240 | 3.8592 |
| 3.6869 | 0.03 | 610560 | 3.8535 |
| 3.6567 | 0.03 | 686880 | 3.8487 |
| 3.6334 | 1.03 | 763200 | 3.8459 |
| 3.6091 | 0.03 | 839520 | 3.8445 |
| 3.5914 | 1.03 | 915840 | 3.8436 |
| 3.5693 | 0.03 | 992160 | 3.8437 |
| 3.5499 | 1.03 | 1068480 | 3.8446 |
| 3.5373 | 0.03 | 1144800 | 3.8454 |
| 3.5171 | 1.03 | 1221120 | 3.8467 |
| 3.502 | 0.03 | 1297440 | 3.8484 |
| 3.4884 | 1.03 | 1373760 | 3.8506 |
| 3.4765 | 0.03 | 1450080 | 3.8514 |
| 3.4688 | 0.03 | 1526400 | 3.8536 |
| 3.4595 | 1.03 | 1602720 | 3.8547 |
| 3.4525 | 0.03 | 1679040 | 3.8556 |
| 3.4446 | 1.03 | 1755360 | 3.8578 |
| 3.4327 | 0.03 | 1831680 | 3.8597 |
| 3.4217 | 1.03 | 1908000 | 3.8595 |
| 3.4097 | 0.03 | 1984320 | 3.8613 |
| 3.3975 | 1.03 | 2060640 | 3.8635 |
| 3.3868 | 0.03 | 2136960 | 3.8649 |
| 3.3748 | 1.03 | 2213280 | 3.8654 |
| 3.3606 | 0.03 | 2289600 | 3.8669 |
| 3.3532 | 1.03 | 2365920 | 3.8672 |
| 3.3371 | 0.03 | 2442240 | 3.8684 |
| 3.3277 | 1.03 | 2518560 | 3.8695 |
| 3.3201 | 0.03 | 2594880 | 3.8688 |
| 3.31 | 0.03 | 2671200 | 3.8694 |
| 3.3054 | 0.03 | 2747520 | 3.8694 |
| 3.3024 | 1.03 | 2823840 | 3.8686 |
| 3.2981 | 0.03 | 2900160 | 3.8676 |
| 3.2952 | 0.03 | 2976480 | 3.8658 |
| 3.2872 | 0.02 | 3052726 | 3.8636 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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