File size: 2,053 Bytes
d472065 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 |
---
tags:
- generated_from_trainer
model-index:
- name: interpro_bert
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_bert
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: 0.7610
## 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: 2e-05
- train_batch_size: 256
- eval_batch_size: 128
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 2048
- total_eval_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 4.7929 | 1.0 | 14395 | 4.4007 |
| 2.6085 | 2.0 | 28790 | 2.4082 |
| 1.7765 | 3.0 | 43185 | 1.6582 |
| 1.3909 | 4.0 | 57580 | 1.3030 |
| 1.1805 | 5.0 | 71975 | 1.1146 |
| 1.0593 | 6.0 | 86370 | 1.0107 |
| 0.9726 | 7.0 | 100765 | 0.9359 |
| 0.9167 | 8.0 | 115160 | 0.8880 |
| 0.8683 | 9.0 | 129555 | 0.8475 |
| 0.8436 | 10.0 | 143950 | 0.8224 |
| 0.8167 | 11.0 | 158345 | 0.7974 |
| 0.8009 | 12.0 | 172740 | 0.7850 |
| 0.7874 | 13.0 | 187135 | 0.7682 |
| 0.7772 | 14.0 | 201530 | 0.7654 |
| 0.7738 | 15.0 | 215925 | 0.7610 |
### Framework versions
- Transformers 4.39.2
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|