Update README.md
Browse files
README.md
CHANGED
|
@@ -5,14 +5,22 @@ tags:
|
|
| 5 |
model-index:
|
| 6 |
- name: xlnet-base-cased-finetuned-WikiCorpus-PoS
|
| 7 |
results: []
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
---
|
| 9 |
|
| 10 |
-
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 11 |
-
should probably proofread and complete it, then remove this comment. -->
|
| 12 |
-
|
| 13 |
# xlnet-base-cased-finetuned-WikiCorpus-PoS
|
| 14 |
|
| 15 |
-
This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased)
|
|
|
|
| 16 |
It achieves the following results on the evaluation set:
|
| 17 |
- Loss: 0.0949
|
| 18 |
- Loc: {'precision': 0.9289891395154553, 'recall': 0.9336691855583543, 'f1': 0.931323283082077, 'number': 5955}
|
|
@@ -62,4 +70,4 @@ The following hyperparameters were used during training:
|
|
| 62 |
- Transformers 4.28.1
|
| 63 |
- Pytorch 2.0.0
|
| 64 |
- Datasets 2.11.0
|
| 65 |
-
- Tokenizers 0.13.3
|
|
|
|
| 5 |
model-index:
|
| 6 |
- name: xlnet-base-cased-finetuned-WikiCorpus-PoS
|
| 7 |
results: []
|
| 8 |
+
datasets:
|
| 9 |
+
- Babelscape/wikineural
|
| 10 |
+
language:
|
| 11 |
+
- en
|
| 12 |
+
metrics:
|
| 13 |
+
- accuracy
|
| 14 |
+
- f1
|
| 15 |
+
- recall
|
| 16 |
+
- precision
|
| 17 |
+
pipeline_tag: token-classification
|
| 18 |
---
|
| 19 |
|
|
|
|
|
|
|
|
|
|
| 20 |
# xlnet-base-cased-finetuned-WikiCorpus-PoS
|
| 21 |
|
| 22 |
+
This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased).
|
| 23 |
+
|
| 24 |
It achieves the following results on the evaluation set:
|
| 25 |
- Loss: 0.0949
|
| 26 |
- Loc: {'precision': 0.9289891395154553, 'recall': 0.9336691855583543, 'f1': 0.931323283082077, 'number': 5955}
|
|
|
|
| 70 |
- Transformers 4.28.1
|
| 71 |
- Pytorch 2.0.0
|
| 72 |
- Datasets 2.11.0
|
| 73 |
+
- Tokenizers 0.13.3
|