File size: 1,871 Bytes
756e3cb |
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 |
---
tags:
- generated_from_trainer
model-index:
- name: berties-pretrained
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. -->
# berties-pretrained
This model is a fine-tuned version of [Jean-Baptiste/camembert-ner](https://huggingface.co/Jean-Baptiste/camembert-ner) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3922
## 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: 5e-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: 3.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.7047 | 0.21 | 500 | 5.0371 |
| 4.4116 | 0.43 | 1000 | 4.5143 |
| 4.0711 | 0.64 | 1500 | 4.3272 |
| 3.8657 | 0.86 | 2000 | 4.1704 |
| 3.6971 | 1.07 | 2500 | 3.9951 |
| 3.5093 | 1.29 | 3000 | 3.7682 |
| 3.3598 | 1.5 | 3500 | 3.6554 |
| 3.2389 | 1.72 | 4000 | 3.6167 |
| 3.1984 | 1.93 | 4500 | 3.4445 |
| 3.1063 | 2.15 | 5000 | 3.4206 |
| 3.0063 | 2.36 | 5500 | 3.4164 |
| 3.0069 | 2.57 | 6000 | 3.4115 |
| 2.9954 | 2.79 | 6500 | 3.3463 |
### Framework versions
- Transformers 4.15.0
- Pytorch 1.10.0+cu111
- Datasets 1.17.0
- Tokenizers 0.10.3
|