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---
tags:
- generated_from_trainer
model-index:
- name: binding-domain-transformer-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-transformer-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: 3.8650
## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2244 | 0.03 | 76320 | 4.1909 |
| 4.0211 | 1.03 | 152640 | 4.0229 |
| 3.9159 | 0.03 | 228960 | 3.9493 |
| 3.8498 | 1.03 | 305280 | 3.9090 |
| 3.7991 | 0.03 | 381600 | 3.8841 |
| 3.7593 | 1.03 | 457920 | 3.8685 |
| 3.723 | 0.03 | 534240 | 3.8588 |
| 3.6924 | 1.03 | 610560 | 3.8515 |
| 3.6614 | 0.03 | 686880 | 3.8478 |
| 3.6384 | 1.03 | 763200 | 3.8438 |
| 3.615 | 0.03 | 839520 | 3.8439 |
| 3.5978 | 0.03 | 915840 | 3.8436 |
| 3.5793 | 1.03 | 992160 | 3.8439 |
| 3.5562 | 0.03 | 1068480 | 3.8438 |
| 3.5417 | 1.03 | 1144800 | 3.8447 |
| 3.5316 | 0.03 | 1221120 | 3.8448 |
| 3.5118 | 1.03 | 1297440 | 3.8462 |
| 3.4988 | 0.03 | 1373760 | 3.8479 |
| 3.487 | 1.03 | 1450080 | 3.8496 |
| 3.479 | 0.03 | 1526400 | 3.8513 |
| 3.4692 | 1.03 | 1602720 | 3.8529 |
| 3.461 | 0.03 | 1679040 | 3.8545 |
| 3.451 | 1.03 | 1755360 | 3.8554 |
| 3.4373 | 0.03 | 1831680 | 3.8589 |
| 3.4255 | 1.03 | 1908000 | 3.8589 |
| 3.4134 | 0.03 | 1984320 | 3.8601 |
| 3.4011 | 1.03 | 2060640 | 3.8621 |
| 3.3925 | 0.03 | 2136960 | 3.8635 |
| 3.3812 | 1.03 | 2213280 | 3.8640 |
| 3.37 | 0.03 | 2289600 | 3.8647 |
| 3.3613 | 1.03 | 2365920 | 3.8655 |
| 3.3524 | 0.03 | 2442240 | 3.8670 |
| 3.3382 | 1.03 | 2518560 | 3.8679 |
| 3.3299 | 0.03 | 2594880 | 3.8672 |
| 3.3211 | 1.03 | 2671200 | 3.8679 |
| 3.3176 | 0.03 | 2747520 | 3.8677 |
| 3.3103 | 1.03 | 2823840 | 3.8677 |
| 3.3062 | 0.03 | 2900160 | 3.8672 |
| 3.2996 | 1.03 | 2976480 | 3.8662 |
| 3.291 | 0.02 | 3052726 | 3.8650 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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