Baseline

README.md

@@ -10,22 +10,22 @@ metrics:
 - recall
 - f1
 model-index:
-- name: deberta_suicide_base
+- name: deBERTa_suicide_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. -->
 
-# deberta_suicide_base
+# deBERTa_suicide_base
 
 This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3196
-- Accuracy: 0.8687
-- Precision: 0.8689
-- Recall: 0.8687
-- F1: 0.8688
+- Loss: 0.3225
+- Accuracy: 0.8684
+- Precision: 0.8688
+- Recall: 0.8684
+- F1: 0.8685
 
 ## Model description
 
@@ -57,15 +57,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 0.3387        | 1.0   | 13923 | 0.3325          | 0.8614   | 0.8618    | 0.8614 | 0.8613 |
-| 0.3155        | 2.0   | 27846 | 0.3202          | 0.8683   | 0.8683    | 0.8683 | 0.8682 |
-| 0.3066        | 3.0   | 41769 | 0.3196          | 0.8687   | 0.8689    | 0.8687 | 0.8688 |
+| 0.3462        | 1.0   | 13923 | 0.3320          | 0.8632   | 0.8635    | 0.8632 | 0.8631 |
+| 0.3203        | 2.0   | 27846 | 0.3218          | 0.8691   | 0.8692    | 0.8691 | 0.8691 |
+| 0.307         | 3.0   | 41769 | 0.3225          | 0.8684   | 0.8688    | 0.8684 | 0.8685 |
 
 
 ### Framework versions
 
 - PEFT 0.14.0
-- Transformers 4.47.1
+- Transformers 4.48.2
 - Pytorch 2.5.1+cu124
 - Datasets 3.2.0
 - Tokenizers 0.21.0

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7b833514df07768ba27b8e3e358b75d34d4eb4884175c88f4a9d3fd2fdd3bc85
 size 1789452