nestoralvaro
/

distilbert-base-uncased-finetuned-ner

Token Classification

Generated from Trainer

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

nestoralvaro commited on Jul 10, 2022

Commit

0c572a2

•

1 Parent(s): 38b2e5b

update model card README.md

Files changed (1) hide show

README.md +4 -4

README.md CHANGED Viewed

@@ -19,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4229
 - Precision: 0.0
 - Recall: 0.0
 - F1: 0.0
@@ -54,9 +54,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 1.0   | 15   | 0.4800          | 0.0       | 0.0    | 0.0 | 0.9226   |
-| No log        | 2.0   | 30   | 0.4315          | 0.0       | 0.0    | 0.0 | 0.9226   |
-| No log        | 3.0   | 45   | 0.4229          | 0.0       | 0.0    | 0.0 | 0.9226   |
 ### Framework versions

 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.4253
 - Precision: 0.0
 - Recall: 0.0
 - F1: 0.0
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
+| No log        | 1.0   | 15   | 0.4677          | 0.0       | 0.0    | 0.0 | 0.9226   |
+| No log        | 2.0   | 30   | 0.4303          | 0.0       | 0.0    | 0.0 | 0.9226   |
+| No log        | 3.0   | 45   | 0.4253          | 0.0       | 0.0    | 0.0 | 0.9226   |
 ### Framework versions