Added training metrics for NLI

app.py

@@ -117,7 +117,7 @@ def displayMetricStatsTextTCLora():
     return metrics
 
 def displayMetricStatsTextNLINoLora():
-    file_name = 'events.out.tfevents.1701212945.784ae33ab242.985.0'
+    file_name = 'events.out.tfevents.NLI-Conventional.1'
     event_acc = event_accumulator.EventAccumulator(file_name,
     size_guidance={
     event_accumulator.COMPRESSED_HISTOGRAMS: 500,
@@ -139,7 +139,7 @@ def displayMetricStatsTextNLINoLora():
     return metrics
 
 def displayMetricStatsTextNLILora():
-    file_name = 'events.out.tfevents.1701212945.784ae33ab242.985.0'
+    file_name = 'events.out.tfevents.NLI-Lora.0'
     event_acc = event_accumulator.EventAccumulator(file_name,
     size_guidance={
     event_accumulator.COMPRESSED_HISTOGRAMS: 500,
@@ -364,8 +364,8 @@ with gr.Blocks(
          nli_btn.click(fn=AlbertnoLORA_fn, inputs=[nli_p1,nli_p2], outputs=NLIOut1)
          nli_btn.click(fn=AlbertwithLORA_fn, inputs=[nli_p1,nli_p2], outputs=NLIOut2)
          btnNLIStats.click(fn=displayMetricStatsUntrained, outputs=NLIUntrained)
-        #btnNLIStats.click(fn=displayMetricStatsUntrained, outputs=NLINoLoraStats)
-        #btnNLIStats.click(fn=displayMetricStatsUntrained, outputs=NLILoraStats)
+         btnNLIStats.click(fn=displayMetricStatsTextNLINoLora, outputs=NLINoLoraStats)
+         btnNLIStats.click(fn=displayMetricStatsTextNLILora, outputs=NLILoraStats)
          
 
     with gr.Tab("Semantic Text Similarity"):

events.out.tfevents.NLI-Conventional.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:585469d35004795e2f912b636de17c017c93d4ec92eeff8321b36f55b3274ecd
+size 5917

events.out.tfevents.NLI-Lora.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cef207dc50598ef2a31346d2589727881d7222398371178759b9a361191f0123
+size 6217