Upload TFDistilBertForTokenClassification

README.md

@@ -1,6 +1,6 @@
 ---
-base_model: distilbert/distilbert-base-uncased
 license: apache-2.0
+base_model: distilbert/distilbert-base-uncased
 tags:
 - generated_from_keras_callback
 model-index:
@@ -15,12 +15,12 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.3531
-- Validation Loss: 1.1890
-- Train Precision: 0.4282
-- Train Recall: 0.3736
-- Train F1: 0.3990
-- Train Accuracy: 0.7547
+- Train Loss: 1.3537
+- Validation Loss: 1.1238
+- Train Precision: 0.4228
+- Train Recall: 0.4093
+- Train F1: 0.4160
+- Train Accuracy: 0.7712
 - Epoch: 2
 
 ## Model description
@@ -47,9 +47,9 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
-| 2.9316     | 1.8747          | 0.0             | 0.0          | 0.0      | 0.6010         | 0     |
-| 1.6200     | 1.4016          | 0.3745          | 0.3114       | 0.3401   | 0.7271         | 1     |
-| 1.3531     | 1.1890          | 0.4282          | 0.3736       | 0.3990   | 0.7547         | 2     |
+| 2.8910     | 1.8205          | 0.4147          | 0.0451       | 0.0813   | 0.6325         | 0     |
+| 1.6360     | 1.3609          | 0.3788          | 0.3566       | 0.3673   | 0.7525         | 1     |
+| 1.3537     | 1.1238          | 0.4228          | 0.4093       | 0.4160   | 0.7712         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:2437c8743601c21455d520f7c22f323699e1ff2699b5a838773ab340ee45b120
 size 265975056