End of training

README.md

@@ -3,6 +3,8 @@ license: mit
 base_model: microsoft/deberta-v3-large
 tags:
 - generated_from_trainer
+metrics:
+- f1
 model-index:
 - name: opus-em-deberta-large
   results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 # opus-em-deberta-large
 
 This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0006
+- F1: 0.9999
 
 ## Model description
 

all_results.json

@@ -0,0 +1,14 @@
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+    "eval_loss": 0.000571024022065103,
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+    "eval_samples_per_second": 54.957,
+    "eval_steps_per_second": 1.717,
+    "train_loss": 0.0007468190386891366,
+    "train_runtime": 9266.3598,
+    "train_samples": 160000,
+    "train_samples_per_second": 51.8,
+    "train_steps_per_second": 0.809
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "eval_f1": 0.9999451273046532,
+    "eval_loss": 0.000571024022065103,
+    "eval_runtime": 655.0542,
+    "eval_samples": 36000,
+    "eval_samples_per_second": 54.957,
+    "eval_steps_per_second": 1.717
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "train_loss": 0.0007468190386891366,
+    "train_runtime": 9266.3598,
+    "train_samples": 160000,
+    "train_samples_per_second": 51.8,
+    "train_steps_per_second": 0.809
+}

trainer_state.json

@@ -0,0 +1,250 @@
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+  "is_world_process_zero": true,
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+}