End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: mit
-base_model: bobbyw/deberta-v3-large_faster_learning
+base_model: bobbyw/deberta-v3-large_faster_learning_v2
 tags:
 - generated_from_trainer
 metrics:
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # deberta-v3-large_faster_learning_v2
 
-This model is a fine-tuned version of [bobbyw/deberta-v3-large_faster_learning](https://huggingface.co/bobbyw/deberta-v3-large_faster_learning) on an unknown dataset.
+This model is a fine-tuned version of [bobbyw/deberta-v3-large_faster_learning_v2](https://huggingface.co/bobbyw/deberta-v3-large_faster_learning_v2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0913
+- Loss: 0.0854
 - Accuracy: 0.0218
 - F1: 0.0427
 - Precision: 0.0218
@@ -56,8 +56,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Rate  |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-----:|
-| 0.1286        | 1.0   | 689  | 0.0918          | 0.0218   | 0.0427 | 0.0218    | 1.0    | 0.001 |
-| 0.1216        | 2.0   | 1378 | 0.0913          | 0.0218   | 0.0427 | 0.0218    | 1.0    | 0.0   |
+| 0.1134        | 1.0   | 689  | 0.0857          | 0.0218   | 0.0427 | 0.0218    | 1.0    | 0.001 |
+| 0.1078        | 2.0   | 1378 | 0.0854          | 0.0218   | 0.0427 | 0.0218    | 1.0    | 0.0   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:3171463f3c75d0694b027bbc7bff9eba72c516f2e8ce84db9af68ef55ad1553a
 size 1740120184

runs/Jun11_17-26-28_5fdac6367e8f/events.out.tfevents.1718126790.5fdac6367e8f.634.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 6873
+oid sha256:6a1b9c88668b835fd8f7e7cf741e46dc9ca64bdf013b37514c6b76e4bb35a0ee
+size 7815