Upload demo NER model for de

README.md

@@ -1,9 +1,13 @@
 ---
 library_name: transformers
+language:
+- multilingual
 license: other
 base_model: DedalusHealthCare/tinybert-mlm-de
 tags:
 - generated_from_trainer
+datasets:
+- ner_demo_de
 model-index:
 - name: tinybert-demo-de
   results: []
@@ -14,7 +18,17 @@ should probably proofread and complete it, then remove this comment. -->
 
 # tinybert-demo-de
 
-This model is a fine-tuned version of [DedalusHealthCare/tinybert-mlm-de](https://huggingface.co/DedalusHealthCare/tinybert-mlm-de) on the None dataset.
+This model is a fine-tuned version of [DedalusHealthCare/tinybert-mlm-de](https://huggingface.co/DedalusHealthCare/tinybert-mlm-de) on the ner_demo_de dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4071
+- Disorder Finding Precision: 0.25
+- Disorder Finding Recall: 0.1818
+- Disorder Finding F1: 0.2105
+- Disorder Finding Number: 11
+- Overall Precision: 0.25
+- Overall Recall: 0.1818
+- Overall F1: 0.2105
+- Overall Accuracy: 0.9286
 
 ## Model description
 

all_results.json

@@ -9,14 +9,14 @@
     "eval_overall_f1": 0.2105263157894737,
     "eval_overall_precision": 0.25,
     "eval_overall_recall": 0.18181818181818182,
-    "eval_runtime": 0.2304,
+    "eval_runtime": 0.2355,
     "eval_samples": 8,
-    "eval_samples_per_second": 34.717,
-    "eval_steps_per_second": 4.34,
+    "eval_samples_per_second": 33.964,
+    "eval_steps_per_second": 4.245,
     "total_flos": 169988587296.0,
     "train_loss": 0.5826312402884165,
-    "train_runtime": 1.2854,
+    "train_runtime": 1.3806,
     "train_samples": 364,
-    "train_samples_per_second": 283.188,
-    "train_steps_per_second": 4.668
+    "train_samples_per_second": 263.663,
+    "train_steps_per_second": 4.346
 }

eval_results.json

@@ -9,8 +9,8 @@
     "eval_overall_f1": 0.2105263157894737,
     "eval_overall_precision": 0.25,
     "eval_overall_recall": 0.18181818181818182,
-    "eval_runtime": 0.2304,
+    "eval_runtime": 0.2355,
     "eval_samples": 8,
-    "eval_samples_per_second": 34.717,
-    "eval_steps_per_second": 4.34
+    "eval_samples_per_second": 33.964,
+    "eval_steps_per_second": 4.245
 }

runs/Oct03_10-29-51_1b0fc1d26494/events.out.tfevents.1759480208.1b0fc1d26494.741.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4e6f56d3e1db3db0d544cbd7ae83fffd5ac286bf6bc4a000d0cc575104c848ba
+size 846

train_results.json

@@ -2,8 +2,8 @@
     "epoch": 1.0,
     "total_flos": 169988587296.0,
     "train_loss": 0.5826312402884165,
-    "train_runtime": 1.2854,
+    "train_runtime": 1.3806,
     "train_samples": 364,
-    "train_samples_per_second": 283.188,
-    "train_steps_per_second": 4.668
+    "train_samples_per_second": 263.663,
+    "train_steps_per_second": 4.346
 }

trainer_state.json

@@ -20,9 +20,9 @@
       "step": 6,
       "total_flos": 169988587296.0,
       "train_loss": 0.5826312402884165,
-      "train_runtime": 1.2854,
-      "train_samples_per_second": 283.188,
-      "train_steps_per_second": 4.668
+      "train_runtime": 1.3806,
+      "train_samples_per_second": 263.663,
+      "train_steps_per_second": 4.346
     }
   ],
   "logging_steps": 100,