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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1204
+- Loss: 2.0931
 
 ## Model description
 
@@ -46,26 +46,26 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 3    | 1.1536          |
-| No log        | 2.0   | 6    | 0.9430          |
-| No log        | 3.0   | 9    | 0.7510          |
-| No log        | 4.0   | 12   | 0.6465          |
-| No log        | 5.0   | 15   | 0.5478          |
-| No log        | 6.0   | 18   | 0.4557          |
-| No log        | 7.0   | 21   | 0.4031          |
-| No log        | 8.0   | 24   | 0.3479          |
-| No log        | 9.0   | 27   | 0.3039          |
-| No log        | 10.0  | 30   | 0.2563          |
-| No log        | 11.0  | 33   | 0.2164          |
-| No log        | 12.0  | 36   | 0.1824          |
-| No log        | 13.0  | 39   | 0.1561          |
-| No log        | 14.0  | 42   | 0.1361          |
-| No log        | 15.0  | 45   | 0.1221          |
-| No log        | 16.0  | 48   | 0.1174          |
-| No log        | 17.0  | 51   | 0.1167          |
-| No log        | 18.0  | 54   | 0.1184          |
-| No log        | 19.0  | 57   | 0.1203          |
-| No log        | 20.0  | 60   | 0.1204          |
+| No log        | 1.0   | 2    | 5.9652          |
+| No log        | 2.0   | 4    | 5.6992          |
+| No log        | 3.0   | 6    | 5.4010          |
+| No log        | 4.0   | 8    | 5.0685          |
+| No log        | 5.0   | 10   | 4.7271          |
+| No log        | 6.0   | 12   | 4.3931          |
+| No log        | 7.0   | 14   | 4.0870          |
+| No log        | 8.0   | 16   | 3.7989          |
+| No log        | 9.0   | 18   | 3.5210          |
+| No log        | 10.0  | 20   | 3.2570          |
+| No log        | 11.0  | 22   | 3.0152          |
+| No log        | 12.0  | 24   | 2.7961          |
+| No log        | 13.0  | 26   | 2.6064          |
+| No log        | 14.0  | 28   | 2.4482          |
+| No log        | 15.0  | 30   | 2.3263          |
+| No log        | 16.0  | 32   | 2.2365          |
+| No log        | 17.0  | 34   | 2.1723          |
+| No log        | 18.0  | 36   | 2.1290          |
+| No log        | 19.0  | 38   | 2.1033          |
+| No log        | 20.0  | 40   | 2.0931          |
 
 
 ### Framework versions
@@ -73,4 +73,4 @@ The following hyperparameters were used during training:
 - Transformers 4.35.2
 - Pytorch 2.1.0+cu121
 - Datasets 2.16.1
-- Tokenizers 0.15.0
+- Tokenizers 0.15.1

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:58c3b36bcd0dbad8e0dccf1b8ae39ea015b91f3c4a4d2774398a87a4e2a28283
 size 265470032

runs/Jan25_09-29-56_a8606346e52b/events.out.tfevents.1706174996.a8606346e52b.161.0

@@ -0,0 +1,3 @@
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+size 9744

tokenizer.json

@@ -4,9 +4,18 @@
     "direction": "Right",
     "max_length": 384,
     "strategy": "OnlySecond",
-    "stride": 128
+    "stride": 0
+  },
+  "padding": {
+    "strategy": {
+      "Fixed": 384
+    },
+    "direction": "Right",
+    "pad_to_multiple_of": null,
+    "pad_id": 0,
+    "pad_type_id": 0,
+    "pad_token": "[PAD]"
   },
-  "padding": null,
   "added_tokens": [
     {
       "id": 0,

training_args.bin

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+oid sha256:84c5124e526796ee5aed1d72661408ec43491f057be3276b035573f0df79acf9
 size 4536