Training in progress epoch 0

README.md

@@ -15,8 +15,8 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [dbmdz/bert-base-french-europeana-cased](https://huggingface.co/dbmdz/bert-base-french-europeana-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0550
-- Epoch: 2
+- Train Loss: 0.2548
+- Epoch: 0
 
 ## Model description
 
@@ -42,9 +42,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Epoch |
 |:----------:|:-----:|
-| 0.0564     | 0     |
-| 0.0548     | 1     |
-| 0.0550     | 2     |
+| 0.2548     | 0     |
 
 
 ### Framework versions

config.json

@@ -10,20 +10,20 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "B-lloc",
-    "1": "I-lobj",
-    "2": "I-lloc",
-    "3": "O",
-    "4": "B-lobj"
+    "0": "O",
+    "1": "B-lobj",
+    "2": "I-lobj",
+    "3": "B-lloc",
+    "4": "I-lloc"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "B-lloc": 0,
-    "B-lobj": 4,
-    "I-lloc": 2,
-    "I-lobj": 1,
-    "O": 3
+    "B-lloc": 3,
+    "B-lobj": 1,
+    "I-lloc": 4,
+    "I-lobj": 2,
+    "O": 0
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,

tf_model.h5

@@ -1,3 +1,3 @@
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+oid sha256:cdaf93db072b508c423a2934cc651b9809454d172d85a0611e4c32c5e8f47e80
 size 440408028