End of training

README.md

@@ -1,5 +1,5 @@
 ---
-base_model: bobbyw/deberta-v3-large_relationships_v3.1
+base_model: bobbyw/deberta-v3-large_relationships_v3.2
 tags:
 - generated_from_trainer
 metrics:
@@ -17,14 +17,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 # deberta-v3-large_relationships_v3.2
 
-This model is a fine-tuned version of [bobbyw/deberta-v3-large_relationships_v3.1](https://huggingface.co/bobbyw/deberta-v3-large_relationships_v3.1) on an unknown dataset.
+This model is a fine-tuned version of [bobbyw/deberta-v3-large_relationships_v3.2](https://huggingface.co/bobbyw/deberta-v3-large_relationships_v3.2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0142
-- Accuracy: 0.0026
-- F1: 0.0045
-- Precision: 0.0023
-- Recall: 0.7
-- Learning Rate: 0.0
+- Loss: 0.0079
+- Accuracy: 0.0017
+- F1: 0.0020
+- Precision: 0.0010
+- Recall: 0.4398
+- Learning Rate: 0.001
 
 ## Model description
 
@@ -48,19 +48,21 @@ The following hyperparameters were used during training:
 - eval_batch_size: 1
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 1
+- lr_scheduler_type: constant
+- num_epochs: 3
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Rate |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:----:|
-| 0.0131        | 1.0   | 3388 | 0.0142          | 0.0026   | 0.0045 | 0.0023    | 0.7    | 0.0  |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall | Rate  |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|:-----:|
+| 0.0022        | 1.0   | 4106  | 0.0076          | 0.0015   | 0.0022 | 0.0011    | 0.4722 | 0.001 |
+| 0.0026        | 2.0   | 8212  | 0.0080          | 0.0017   | 0.0020 | 0.0010    | 0.4306 | 0.001 |
+| 0.0021        | 3.0   | 12318 | 0.0079          | 0.0017   | 0.0020 | 0.0010    | 0.4398 | 0.001 |
 
 
 ### Framework versions
 
-- Transformers 4.41.2
-- Pytorch 2.3.0+cu121
-- Datasets 2.20.0
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
 - Tokenizers 0.19.1

runs/Aug22_16-54-57_5b31a031f6d5/events.out.tfevents.1724345698.5b31a031f6d5.216.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dc076b3f4e71a12e274ec20579ef311df4f5d79b1cb5988d224d4d0c55213d21
-size 23816
+oid sha256:149efc90f676e39d9b399ee90a50b297340b3ff560cee2d2496f55c37ff8c3ea
+size 24758