End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: Akari/albert-base-v2-finetuned-squad
+base_model: Palak/albert-base-v2_squad
 tags:
 - generated_from_trainer
 model-index:
@@ -13,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # albert_v2_lookup_spending_category
 
-This model is a fine-tuned version of [Akari/albert-base-v2-finetuned-squad](https://huggingface.co/Akari/albert-base-v2-finetuned-squad) on an unknown dataset.
+This model is a fine-tuned version of [Palak/albert-base-v2_squad](https://huggingface.co/Palak/albert-base-v2_squad) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: nan
+- Loss: 0.0406
 
 ## Model description
 
@@ -46,18 +46,18 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 84   | nan             |
-| No log        | 2.0   | 168  | nan             |
-| No log        | 3.0   | 252  | nan             |
-| No log        | 4.0   | 336  | nan             |
-| No log        | 5.0   | 420  | nan             |
-| 0.0           | 6.0   | 504  | nan             |
-| 0.0           | 7.0   | 588  | nan             |
-| 0.0           | 8.0   | 672  | nan             |
-| 0.0           | 9.0   | 756  | nan             |
-| 0.0           | 10.0  | 840  | nan             |
-| 0.0           | 11.0  | 924  | nan             |
-| 0.0           | 12.0  | 1008 | nan             |
+| No log        | 1.0   | 84   | 0.0321          |
+| No log        | 2.0   | 168  | 0.0358          |
+| No log        | 3.0   | 252  | 0.0372          |
+| No log        | 4.0   | 336  | 0.0381          |
+| No log        | 5.0   | 420  | 0.0388          |
+| 0.0064        | 6.0   | 504  | 0.0393          |
+| 0.0064        | 7.0   | 588  | 0.0398          |
+| 0.0064        | 8.0   | 672  | 0.0401          |
+| 0.0064        | 9.0   | 756  | 0.0403          |
+| 0.0064        | 10.0  | 840  | 0.0405          |
+| 0.0064        | 11.0  | 924  | 0.0406          |
+| 0.0           | 12.0  | 1008 | 0.0406          |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "Akari/albert-base-v2-finetuned-squad",
+  "_name_or_path": "Palak/albert-base-v2_squad",
   "architectures": [
     "AlbertForQuestionAnswering"
   ],

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:4dc62165cea4ddcdf23582c8625840f45f198371566f45a0ee91ddcd74640324
 size 44381360

runs/Jun10_04-14-08_8c18522a2f1d/events.out.tfevents.1717992849.8c18522a2f1d.548.0

@@ -0,0 +1,3 @@
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+size 9091

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:1f1e5feab4ce32f0c5ca40d8774cf55c2655c511cedb2aa019e03abb735ec10b
 size 5112