File size: 1,931 Bytes
c452bcd 35d0a88 c452bcd 7c12e29 c452bcd 35d0a88 c452bcd 35d0a88 c452bcd 35d0a88 7c12e29 c452bcd |
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 |
---
license: mit
base_model: bert-base-german-cased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: Misinformation-Covid-bert-base-german-cased
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. -->
# Misinformation-Covid-bert-base-german-cased
This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7182
- F1: 0.3333
## 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-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.6609 | 1.0 | 189 | 0.6062 | 0.0 |
| 0.6168 | 2.0 | 378 | 0.5649 | 0.1818 |
| 0.5638 | 3.0 | 567 | 0.5665 | 0.1818 |
| 0.5382 | 4.0 | 756 | 0.5790 | 0.2128 |
| 0.5399 | 5.0 | 945 | 0.5459 | 0.3284 |
| 0.4745 | 6.0 | 1134 | 0.7525 | 0.3265 |
| 0.5061 | 7.0 | 1323 | 0.6379 | 0.3529 |
| 0.377 | 8.0 | 1512 | 0.6965 | 0.3692 |
| 0.4159 | 9.0 | 1701 | 0.7172 | 0.3478 |
| 0.3924 | 10.0 | 1890 | 0.7182 | 0.3333 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.12.0
- Tokenizers 0.13.3
|