ibrahimVicomtech
/

contextualAug_evaluation

Token Classification

generated_from_keras_callback

Inference Endpoints

Model card Files Files and versions Community

ibrahimVicomtech commited on Jul 8

Commit

a5ffae4

•

1 Parent(s): 8ba6fcf

Upload TFDistilBertForTokenClassification

Files changed (2) hide show

README.md +10 -10
tf_model.h5 +1 -1

README.md CHANGED Viewed

@@ -1,6 +1,6 @@
 ---
-base_model: distilbert/distilbert-base-uncased
 license: apache-2.0
 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: 1.1272
-- Validation Loss: 1.7562
-- Train Precision: 0.6154
-- Train Recall: 0.0204
-- Train F1: 0.0394
-- Train Accuracy: 0.6146
 - 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 |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
-| 2.5328     | 2.4409          | 0.0             | 0.0          | 0.0      | 0.6084         | 0     |
-| 1.3234     | 1.9013          | 0.0             | 0.0          | 0.0      | 0.6084         | 1     |
-| 1.1272     | 1.7562          | 0.6154          | 0.0204       | 0.0394   | 0.6146         | 2     |
 ### Framework versions

 ---
 license: apache-2.0
+base_model: distilbert/distilbert-base-uncased
 tags:
 - generated_from_keras_callback
 model-index:
 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: 1.0810
+- Validation Loss: 1.6858
+- Train Precision: 0.3411
+- Train Recall: 0.1705
+- Train F1: 0.2273
+- Train Accuracy: 0.6749
 - Epoch: 2
 ## Model description
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
+| 2.4440     | 2.3476          | 0.0             | 0.0          | 0.0      | 0.6084         | 0     |
+| 1.2442     | 1.7924          | 0.43            | 0.0156       | 0.0302   | 0.6140         | 1     |
+| 1.0810     | 1.6858          | 0.3411          | 0.1705       | 0.2273   | 0.6749         | 2     |
 ### Framework versions

tf_model.h5 CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e665761a0669b48fba70f5c4434ceac55eefd85e4e65fa2ebf63177b50fec84e
 size 265975056

 version https://git-lfs.github.com/spec/v1
+oid sha256:531bba56eda0351505579a84b831d51933b6b25be110db2603910ed200d7641b
 size 265975056