End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5948
+- Loss: 0.6350
 
 ## Model description
 
@@ -40,13 +40,15 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 4    | 0.5948          |
+| No log        | 1.0   | 7    | 0.6501          |
+| No log        | 2.0   | 14   | 0.6394          |
+| No log        | 3.0   | 21   | 0.6350          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0948091ade02d26314168a5b0eadfc0dde0a12517796121e141e6afda1552406
+oid sha256:127129bda5f23f23512d5709dc7c0e6242858273c5dcfd1476429517cfacdc41
 size 567620084

runs/Jun03_10-00-26_0417-111206-hkgnini8-10-45-16-10/events.out.tfevents.1717408828.0417-111206-hkgnini8-10-45-16-10.6681.18

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0b7154fd055c366e26dbdc760533746428c796aefe69a24ca4daec9a0c37f04c
+size 6577

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bd497580ea2e211082d895fa92ea52a5dc18a633275dc85d7078bacc8d8c6550
+oid sha256:3afff8e2442a6b31507778a33c18a5d5d8f9ab63f956159d30f94a17c1b52c70
 size 5112