End of training

README.md

@@ -1,13 +1,28 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: Hartunka/distilbert_km_100_v1
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 model-index:
 - name: distilbert_km_100_v1_sst2
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE SST2
+      type: glue
+      args: sst2
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8096330275229358
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilbert_km_100_v1_sst2
 
-This model is a fine-tuned version of [Hartunka/distilbert_km_100_v1](https://huggingface.co/Hartunka/distilbert_km_100_v1) on an unknown dataset.
+This model is a fine-tuned version of [Hartunka/distilbert_km_100_v1](https://huggingface.co/Hartunka/distilbert_km_100_v1) on the GLUE SST2 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7531
-- Accuracy: 0.8050
+- Loss: 0.4364
+- Accuracy: 0.8096
 
 ## Model description
 

all_results.json

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+    "total_flos": 2.676464049624883e+16,
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+    "train_runtime": 375.8259,
+    "train_samples": 67349,
+    "train_samples_per_second": 8960.133,
+    "train_steps_per_second": 35.123
+}

eval_results.json

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+{
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+}

logs/events.out.tfevents.1744908835.s_005_m.2758941.11

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+version https://git-lfs.github.com/spec/v1
+oid sha256:813b6c1e05cc7382dd7a9bc53f74ad5e50c43460f1201683d5b2dd79dfc439d5
+size 363

train_results.json

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+}

trainer_state.json

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+{
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+  "best_metric": 0.4364422559738159,
+  "best_model_checkpoint": "distilbert_km_100_v1_sst2/checkpoint-264",
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+  "is_hyper_param_search": false,
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+  "is_world_process_zero": true,
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+}