Token Classification
Transformers
Safetensors
longformer
Generated from Trainer
Eval Results (legacy)
Instructions to use Theoreticallyhugo/longformer-spans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Theoreticallyhugo/longformer-spans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Theoreticallyhugo/longformer-spans")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Theoreticallyhugo/longformer-spans") model = AutoModelForTokenClassification.from_pretrained("Theoreticallyhugo/longformer-spans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 7
Browse files- meta_data/meta_s42_e50_cvi1.json +1 -1
- model.safetensors +1 -1
meta_data/meta_s42_e50_cvi1.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"B": {"precision": 0.
|
|
|
|
| 1 |
+
{"B": {"precision": 0.8712871287128713, "recall": 0.8964346349745331, "f1-score": 0.8836820083682009, "support": 1178.0}, "I": {"precision": 0.9609854091774159, "recall": 0.9618498333245146, "f1-score": 0.9614174269469787, "support": 18899.0}, "O": {"precision": 0.9295093296475466, "recall": 0.924852652259332, "f1-score": 0.9271751440248166, "support": 10180.0}, "accuracy": 0.9468552731599299, "macro avg": {"precision": 0.9205939558459445, "recall": 0.9277123735194599, "f1-score": 0.9240915264466655, "support": 30257.0}, "weighted avg": {"precision": 0.9469030129054358, "recall": 0.9468552731599299, "f1-score": 0.9468700903559945, "support": 30257.0}}
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 592318676
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6fd7c0b5ee3a2a744c44e3b11887aef020ffa0e13eb09cf710ffe4ff575c3729
|
| 3 |
size 592318676
|