trainer: training complete at 2024-02-10 15:18:00.260578.

README.md

@@ -7,6 +7,8 @@ datasets:
 - essay_dataset
 metrics:
 - accuracy
+- precision
+- recall
 - f1
 model-index:
 - name: distilbert_B001
@@ -24,11 +26,19 @@ model-index:
     - name: Accuracy
       type: accuracy
       value:
-        accuracy: 0.5617977528089888
+        accuracy: 0.5280898876404494
+    - name: Precision
+      type: precision
+      value:
+        precision: 0.19377125850340135
+    - name: Recall
+      type: recall
+      value:
+        recall: 0.2962962962962963
     - name: F1
       type: f1
       value:
-        f1: 0.23245798319327732
+        f1: 0.21358825283243887
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -38,9 +48,11 @@ 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 the essay_dataset dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2934
-- Accuracy: {'accuracy': 0.5617977528089888}
-- F1: {'f1': 0.23245798319327732}
+- Loss: 1.3451
+- Accuracy: {'accuracy': 0.5280898876404494}
+- Precision: {'precision': 0.19377125850340135}
+- Recall: {'recall': 0.2962962962962963}
+- F1: {'f1': 0.21358825283243887}
 
 ## Model description
 
@@ -69,12 +81,12 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy                         | F1                          |
-|:-------------:|:-----:|:----:|:---------------:|:--------------------------------:|:---------------------------:|
-| No log        | 1.0   | 42   | 1.6271          | {'accuracy': 0.449438202247191}  | {'f1': 0.17598379064544478} |
-| No log        | 2.0   | 84   | 1.3771          | {'accuracy': 0.5393258426966292} | {'f1': 0.22072649572649572} |
-| No log        | 3.0   | 126  | 1.2831          | {'accuracy': 0.5617977528089888} | {'f1': 0.232519422863485}   |
-| No log        | 4.0   | 168  | 1.2934          | {'accuracy': 0.5617977528089888} | {'f1': 0.23245798319327732} |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy                         | Precision                          | Recall                          | F1                          |
+|:-------------:|:-----:|:----:|:---------------:|:--------------------------------:|:----------------------------------:|:-------------------------------:|:---------------------------:|
+| No log        | 1.0   | 42   | 1.6131          | {'accuracy': 0.4044943820224719} | {'precision': 0.10313447927199192} | {'recall': 0.2456896551724138}  | {'f1': 0.13425925925925927} |
+| No log        | 2.0   | 84   | 1.4558          | {'accuracy': 0.4943820224719101} | {'precision': 0.16714285714285715} | {'recall': 0.24942129629629628} | {'f1': 0.19666725679383906} |
+| No log        | 3.0   | 126  | 1.3405          | {'accuracy': 0.5730337078651685} | {'precision': 0.20856060606060606} | {'recall': 0.31513409961685823} | {'f1': 0.2357282221467332}  |
+| No log        | 4.0   | 168  | 1.3451          | {'accuracy': 0.5280898876404494} | {'precision': 0.19377125850340135} | {'recall': 0.2962962962962963}  | {'f1': 0.21358825283243887} |
 
 
 ### Framework versions

model.safetensors

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 size 267854100

tokenizer.json

@@ -1,11 +1,6 @@
 {
   "version": "1.0",
-  "truncation": {
-    "direction": "Right",
-    "max_length": 512,
-    "strategy": "LongestFirst",
-    "stride": 0
-  },
+  "truncation": null,
   "padding": null,
   "added_tokens": [
     {

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:96fec106080c0fe278f2ca511650e0ce666e2f6412051fd2b9a54381a327ce49
 size 4664