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---
tags:
- generated_from_trainer
model-index:
- name: binding-case-transformer-1
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-1
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: 3.8678
## 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: 1
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2219 | 0.03 | 76320 | 4.1938 |
| 4.0179 | 1.03 | 152640 | 4.0262 |
| 3.9092 | 0.03 | 228960 | 3.9526 |
| 3.8414 | 1.03 | 305280 | 3.9123 |
| 3.7919 | 0.03 | 381600 | 3.8867 |
| 3.7493 | 0.03 | 457920 | 3.8702 |
| 3.7175 | 1.03 | 534240 | 3.8604 |
| 3.6858 | 0.03 | 610560 | 3.8531 |
| 3.6577 | 1.03 | 686880 | 3.8489 |
| 3.6345 | 0.03 | 763200 | 3.8470 |
| 3.6116 | 1.03 | 839520 | 3.8456 |
| 3.5916 | 0.03 | 915840 | 3.8445 |
| 3.5708 | 1.03 | 992160 | 3.8453 |
| 3.5505 | 0.03 | 1068480 | 3.8457 |
| 3.5405 | 1.03 | 1144800 | 3.8465 |
| 3.5146 | 0.03 | 1221120 | 3.8490 |
| 3.5001 | 1.03 | 1297440 | 3.8498 |
| 3.4886 | 0.03 | 1373760 | 3.8505 |
| 3.4754 | 0.03 | 1450080 | 3.8507 |
| 3.468 | 1.03 | 1526400 | 3.8542 |
| 3.4602 | 0.03 | 1602720 | 3.8564 |
| 3.4504 | 1.03 | 1679040 | 3.8568 |
| 3.4461 | 0.03 | 1755360 | 3.8582 |
| 3.431 | 1.03 | 1831680 | 3.8594 |
| 3.42 | 0.03 | 1908000 | 3.8629 |
| 3.4085 | 0.03 | 1984320 | 3.8640 |
| 3.3963 | 1.03 | 2060640 | 3.8660 |
| 3.3869 | 0.03 | 2136960 | 3.8671 |
| 3.3743 | 1.03 | 2213280 | 3.8683 |
| 3.3643 | 0.03 | 2289600 | 3.8694 |
| 3.356 | 1.03 | 2365920 | 3.8698 |
| 3.3363 | 0.03 | 2442240 | 3.8715 |
| 3.3256 | 1.03 | 2518560 | 3.8716 |
| 3.3198 | 0.03 | 2594880 | 3.8724 |
| 3.311 | 1.03 | 2671200 | 3.8732 |
| 3.305 | 0.03 | 2747520 | 3.8721 |
| 3.3007 | 1.03 | 2823840 | 3.8715 |
| 3.2956 | 0.03 | 2900160 | 3.8708 |
| 3.294 | 1.03 | 2976480 | 3.8698 |
| 3.2848 | 0.02 | 3052726 | 3.8678 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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