File size: 3,627 Bytes
be26f56 2c64e62 be26f56 2c64e62 be26f56 2c64e62 5d42dd9 2c64e62 5d42dd9 2c64e62 5d42dd9 2c64e62 5d42dd9 2c64e62 5d42dd9 2c64e62 5d42dd9 2c64e62 5d42dd9 2c64e62 5d42dd9 2c64e62 5d42dd9 2c64e62 5d42dd9 2c64e62 5d42dd9 2c64e62 be26f56 |
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 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 |
---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de
results:
- task:
type: token-classification
name: Token Classification
dataset:
name: xtreme
type: xtreme
args: PAN-X.de
metrics:
- type: f1
value: 0.8620945214069894
name: F1
- task:
type: token-classification
name: Token Classification
dataset:
name: xtreme
type: xtreme
config: PAN-X.de
split: test
metrics:
- type: accuracy
value: 0.899981559318585
name: Accuracy
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzZjYTI0ZmUwZjQ2MzQ1NDEwMTA0M2EyODYwZTMyNTMyYTUxNzQ3MzcyYWRmYjYyODNlNDljYmQ2YTUwYTViYiIsInZlcnNpb24iOjF9.3_lRUjgcJb1zDFL254OS4CWayOUjWfF2NFuhzNRwUhl3l4ksrcd7v67koNXnIYGPcgbNwQODOCqETna0ko7ECg
- type: precision
value: 0.9009035072102546
name: Precision
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzM2NDFjNDViMjhkNjczYTQ3NThjMjNkZTdkYzYxMTc4ODBiM2MxNjFiZWZlOGU2YTQxOTRmNDlmN2EyMTg3MCIsInZlcnNpb24iOjF9.ErJg5--NspICPRLC3JLHQTZSeVsdkLlKoV3v_Pot_284vJOA0MX4Ts8uGgT5kaK4gWk64jfUZFtNFm0vUBjqCw
- type: recall
value: 0.9206610317249744
name: Recall
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGU1ZTc1N2YyNzQzMGNlOTRkMmY4MWUyYjQ2NGVmZjQyNzYyYTk1YThkZThhNTcwNjg4NWIzZmY3MjI3ZjVhNCIsInZlcnNpb24iOjF9.spV2MeZeos22IPcNq6b_P-aZPqCPKNQqm5jiqs0YTMTaYynp_99XhDEc7G9mmAZd9TkYsqJipCzATHdLZrX_BA
- type: f1
value: 0.9106751198809252
name: F1
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWIxYTJjY2U3NjVkNzc0OTUyYWMxZjZjYTcwYzdjNzQ2Nzg1MTFlMDc1M2RkMDNiZmE3ZDI3ZDdhMjk0NDhlNSIsInZlcnNpb24iOjF9.PM1Yn7wwC0fvGZYYHr4NWgfLTirHe5zBdnYhjuo-bydSlcxMSPX9yV4jWc8yswMzU6s3XcIfeAt4xnmefSi7BQ
- type: loss
value: 0.3754884600639343
name: loss
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjkyN2RiMzg0ZWYyOTFlMWMxZDI0MmUyNGY2YmQzM2FkZGMyNjYyNTM1YTkwMTU3MmQxYTIzNDRkNjU3M2U1MyIsInZlcnNpb24iOjF9.9jtKqGu1dj0OsxRPmiObEQ-_ljPmlZTArqGjU_9Dhu9mvZkxmnob6LnjUQFYvw8DyFS8pqKyFe5NXH0QrL3_Dg
---
<!-- 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. -->
# xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1372
- F1: 0.8621
## 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: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.2575 | 1.0 | 525 | 0.1621 | 0.8292 |
| 0.1287 | 2.0 | 1050 | 0.1378 | 0.8526 |
| 0.0831 | 3.0 | 1575 | 0.1372 | 0.8621 |
### Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
|