File size: 2,139 Bytes
235eaae 4627845 235eaae |
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 |
---
license: apache-2.0
base_model: google-bert/bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: ConcPurcBERT-Katch-0329-v2
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. -->
# ConcPurcBERT-Katch-0329-v2
This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4808
- Accuracy: 0.7855
- F1: 0.7854
## 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: 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 | Accuracy | F1 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.4707 | 1.0 | 2522 | 0.5220 | 0.7553 | 0.7517 |
| 0.4152 | 2.0 | 5044 | 0.4808 | 0.7855 | 0.7854 |
| 0.385 | 3.0 | 7566 | 0.5768 | 0.7846 | 0.7834 |
| 0.3495 | 4.0 | 10088 | 0.7314 | 0.7945 | 0.7945 |
| 0.3282 | 5.0 | 12610 | 0.8054 | 0.7893 | 0.7890 |
| 0.3214 | 6.0 | 15132 | 0.9016 | 0.7898 | 0.7895 |
| 0.3038 | 7.0 | 17654 | 1.0931 | 0.7890 | 0.7890 |
| 0.235 | 8.0 | 20176 | 1.1521 | 0.7749 | 0.7741 |
| 0.1705 | 9.0 | 22698 | 1.3791 | 0.7758 | 0.7756 |
| 0.1252 | 10.0 | 25220 | 1.4324 | 0.7742 | 0.7739 |
### Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.14.1
|