Model save

README.md

@@ -1,27 +1,27 @@
 ---
 library_name: transformers
-license: mit
-base_model: vinai/bertweet-large
+license: apache-2.0
+base_model: bert-base-uncased
 tags:
 - generated_from_trainer
 metrics:
 - accuracy
 model-index:
-- name: BERTweet-large-self-labeling
+- name: experiment_labels_bert_base
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# BERTweet-large-self-labeling
+# experiment_labels_bert_base
 
-This model is a fine-tuned version of [vinai/bertweet-large](https://huggingface.co/vinai/bertweet-large) on an unknown dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5607
-- Accuracy: 0.7885
-- F1 Macro: 0.7817
-- F1 Weighted: 0.7885
+- Loss: 0.6531
+- Accuracy: 0.7444
+- F1 Macro: 0.7295
+- F1 Weighted: 0.7451
 
 ## Model description
 
@@ -54,8 +54,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Weighted |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------:|
-| 0.5943        | 1.0   | 1540 | 0.5735          | 0.7708   | 0.7592   | 0.7708      |
-| 0.3951        | 2.0   | 3080 | 0.5607          | 0.7885   | 0.7817   | 0.7885      |
+| 0.6645        | 1.0   | 1540 | 0.6703          | 0.7275   | 0.7134   | 0.7292      |
+| 0.5152        | 2.0   | 3080 | 0.6531          | 0.7444   | 0.7295   | 0.7451      |
 
 
 ### Framework versions