File size: 1,734 Bytes
4c7cbf7 3c35b38 4c7cbf7 3c35b38 |
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 |
---
license: cc-by-nc-nd-4.0
base_model: google-bert/bert-large-uncased
tags:
- generated_from_trainer
model-index:
- name: checkpoint
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. -->
# checkpoint
This model is a fine-tuned version of [google-bert/bert-large-uncased](https://huggingface.co/google-bert/bert-large-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5713
## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.9089 | 0.4 | 7373 | 0.8463 |
| 0.6975 | 0.8 | 14746 | 0.6603 |
| 0.5207 | 1.2 | 22119 | 0.6005 |
| 0.4985 | 1.6 | 29492 | 0.5558 |
| 0.4572 | 2.0 | 36865 | 0.5206 |
| 0.3228 | 2.4 | 44238 | 0.5485 |
| 0.305 | 2.8 | 51611 | 0.5243 |
| 0.2171 | 3.2 | 58984 | 0.5674 |
| 0.2057 | 3.6 | 66357 | 0.5713 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2 |