Andreas Jörg
commited on
Commit
•
7de8fe6
1
Parent(s):
a767501
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,69 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
tags:
|
| 3 |
+
- generated_from_trainer
|
| 4 |
+
model-index:
|
| 5 |
+
- name: german-poetry-xlm-roberta
|
| 6 |
+
results: []
|
| 7 |
+
---
|
| 8 |
+
|
| 9 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 10 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 11 |
+
|
| 12 |
+
# german-poetry-xlm-roberta
|
| 13 |
+
|
| 14 |
+
This model is a fine-tuned version of [xlm-roberta-large-finetuned-conll03-german](https://huggingface.co/xlm-roberta-large-finetuned-conll03-german) on the None dataset.
|
| 15 |
+
It achieves the following results on the evaluation set:
|
| 16 |
+
- Loss: 1.8672
|
| 17 |
+
|
| 18 |
+
## Model description
|
| 19 |
+
|
| 20 |
+
More information needed
|
| 21 |
+
|
| 22 |
+
## Intended uses & limitations
|
| 23 |
+
|
| 24 |
+
More information needed
|
| 25 |
+
|
| 26 |
+
## Training and evaluation data
|
| 27 |
+
|
| 28 |
+
More information needed
|
| 29 |
+
|
| 30 |
+
## Training procedure
|
| 31 |
+
|
| 32 |
+
### Training hyperparameters
|
| 33 |
+
|
| 34 |
+
The following hyperparameters were used during training:
|
| 35 |
+
- learning_rate: 2e-05
|
| 36 |
+
- train_batch_size: 32
|
| 37 |
+
- eval_batch_size: 8
|
| 38 |
+
- seed: 42
|
| 39 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 40 |
+
- lr_scheduler_type: linear
|
| 41 |
+
- num_epochs: 15
|
| 42 |
+
|
| 43 |
+
### Training results
|
| 44 |
+
|
| 45 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 46 |
+
|:-------------:|:-----:|:-----:|:---------------:|
|
| 47 |
+
| 3.1984 | 1.0 | 2774 | 2.8507 |
|
| 48 |
+
| 2.7279 | 2.0 | 5548 | 2.5140 |
|
| 49 |
+
| 2.5236 | 3.0 | 8322 | 2.3583 |
|
| 50 |
+
| 2.4115 | 4.0 | 11096 | 2.2371 |
|
| 51 |
+
| 2.2953 | 5.0 | 13870 | 2.1773 |
|
| 52 |
+
| 2.2179 | 6.0 | 16644 | 2.1217 |
|
| 53 |
+
| 2.1652 | 7.0 | 19418 | 2.0483 |
|
| 54 |
+
| 2.1023 | 8.0 | 22192 | 2.0003 |
|
| 55 |
+
| 2.0532 | 9.0 | 24966 | 1.9961 |
|
| 56 |
+
| 2.0153 | 10.0 | 27740 | 1.9626 |
|
| 57 |
+
| 1.9657 | 11.0 | 30514 | 1.9310 |
|
| 58 |
+
| 1.9456 | 12.0 | 33288 | 1.9065 |
|
| 59 |
+
| 1.919 | 13.0 | 36062 | 1.8906 |
|
| 60 |
+
| 1.9077 | 14.0 | 38836 | 1.8712 |
|
| 61 |
+
| 1.9048 | 15.0 | 41610 | 1.8672 |
|
| 62 |
+
|
| 63 |
+
|
| 64 |
+
### Framework versions
|
| 65 |
+
|
| 66 |
+
- Transformers 4.25.1
|
| 67 |
+
- Pytorch 1.13.0+cu116
|
| 68 |
+
- Datasets 2.8.0
|
| 69 |
+
- Tokenizers 0.13.2
|