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---
tags:
- generated_from_trainer
model-index:
- name: interpro_bert3
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. -->
# interpro_bert3
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4142
## 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: 0.0001
- train_batch_size: 200
- eval_batch_size: 128
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 1600
- total_eval_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 1.2045 | 1.0 | 18425 | 1.1198 |
| 0.8936 | 2.0 | 36850 | 0.8563 |
| 0.7736 | 3.0 | 55275 | 0.7475 |
| 0.6946 | 4.0 | 73700 | 0.6877 |
| 0.8083 | 5.0 | 92125 | 0.7509 |
| 0.677 | 6.0 | 110550 | 0.6578 |
| 0.778 | 7.0 | 128975 | 0.7306 |
| 0.6017 | 8.0 | 147400 | 0.5994 |
| 0.5646 | 9.0 | 165825 | 0.5704 |
| 0.5352 | 10.0 | 184250 | 0.5479 |
| 0.532 | 11.0 | 202675 | 0.5496 |
| 0.495 | 12.0 | 221100 | 0.5198 |
| 0.4714 | 13.0 | 239525 | 0.4971 |
| 0.4497 | 14.0 | 257950 | 0.4797 |
| 0.4312 | 15.0 | 276375 | 0.4670 |
| 0.4131 | 16.0 | 294800 | 0.4494 |
| 0.4001 | 17.0 | 313225 | 0.4411 |
| 0.3828 | 18.0 | 331650 | 0.4316 |
| 0.3665 | 19.0 | 350075 | 0.4201 |
| 0.3592 | 20.0 | 368500 | 0.4142 |
### Framework versions
- Transformers 4.39.2
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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