Jsevisal
/

bert-gest-pred-seqeval-partialmatch

@@ -1,9 +1,5 @@
 ---
 license: apache-2.0
-widget:
-  - text: I'm fine. Who is this?
-  - text: You can't take anything seriously.
-  - text: In the end he''s going to croak, isn''t he?
 tags:
 - generated_from_trainer
 metrics:
@@ -14,11 +10,6 @@ metrics:
 model-index:
 - name: bert-gest-pred-seqeval-partialmatch
   results: []
-datasets:
-- Jsevisal/gesture_pred
-language:
-- en
-pipeline_tag: token-classification
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -28,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.733480
-- Precision: 0.831599
-- Recall: 0.831599
-- F1: 0.831599
-- Accuracy: 0.817945
 ## Model description
@@ -63,21 +54,21 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 1.8591        | 1.0   | 147  | 1.1031          | 0.7523    | 0.7523 | 0.7523 | 0.7172   |
-| 0.8967        | 2.0   | 294  | 0.8237          | 0.8036    | 0.8036 | 0.8036 | 0.7822   |
-| 0.5801        | 3.0   | 441  | 0.7738          | 0.8251    | 0.8251 | 0.8251 | 0.8088   |
-| 0.3924        | 4.0   | 588  | 0.7335          | 0.8316    | 0.8316 | 0.8316 | 0.8179   |
-| 0.2704        | 5.0   | 735  | 0.7467          | 0.8459    | 0.8459 | 0.8459 | 0.8342   |
-| 0.1802        | 6.0   | 882  | 0.7634          | 0.8420    | 0.8420 | 0.8420 | 0.8316   |
-| 0.1299        | 7.0   | 1029 | 0.8104          | 0.8270    | 0.8270 | 0.8270 | 0.8147   |
-| 0.0968        | 8.0   | 1176 | 0.8489          | 0.8375    | 0.8375 | 0.8375 | 0.8277   |
-| 0.0761        | 9.0   | 1323 | 0.8539          | 0.8459    | 0.8459 | 0.8459 | 0.8362   |
-| 0.0663        | 10.0  | 1470 | 0.8644          | 0.8459    | 0.8459 | 0.8459 | 0.8349   |
 ### Framework versions
-- Transformers 4.26.1
 - Pytorch 1.13.1+cu116
 - Datasets 2.10.1
-- Tokenizers 0.13.2

 ---
 license: apache-2.0
 tags:
 - generated_from_trainer
 metrics:
 model-index:
 - name: bert-gest-pred-seqeval-partialmatch
   results: []
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.8238
+- Precision: 0.7765
+- Recall: 0.7347
+- F1: 0.7289
+- Accuracy: 0.8355
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 1.8976        | 1.0   | 147  | 1.1361          | 0.4802    | 0.4141 | 0.4034 | 0.7009   |
+| 0.916         | 2.0   | 294  | 0.8206          | 0.6045    | 0.5622 | 0.5493 | 0.7744   |
+| 0.5893        | 3.0   | 441  | 0.7711          | 0.7318    | 0.6613 | 0.6747 | 0.7952   |
+| 0.4019        | 4.0   | 588  | 0.7270          | 0.7713    | 0.7201 | 0.7277 | 0.8199   |
+| 0.2713        | 5.0   | 735  | 0.7353          | 0.8000    | 0.7512 | 0.7545 | 0.8349   |
+| 0.1831        | 6.0   | 882  | 0.7802          | 0.7958    | 0.7245 | 0.7375 | 0.8303   |
+| 0.1343        | 7.0   | 1029 | 0.7785          | 0.7652    | 0.7351 | 0.7204 | 0.8362   |
+| 0.0989        | 8.0   | 1176 | 0.8017          | 0.7753    | 0.7317 | 0.7313 | 0.8322   |
+| 0.079         | 9.0   | 1323 | 0.8281          | 0.7844    | 0.7297 | 0.7325 | 0.8349   |
+| 0.0673        | 10.0  | 1470 | 0.8238          | 0.7765    | 0.7347 | 0.7289 | 0.8355   |
 ### Framework versions
+- Transformers 4.27.3
 - Pytorch 1.13.1+cu116
 - Datasets 2.10.1
+- Tokenizers 0.13.2