End of training

README.md

@@ -1,32 +1,13 @@
 ---
 license: apache-2.0
-base_model: indukurs/base-model
+base_model: bert-base-uncased
 tags:
 - generated_from_trainer
 datasets:
 - imdb
-metrics:
-- accuracy
-- f1
 model-index:
 - name: pruned_model
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: imdb
-      type: imdb
-      config: plain_text
-      split: test
-      args: plain_text
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.9
-    - name: F1
-      type: f1
-      value: 0.9013157894736842
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,11 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # pruned_model
 
-This model is a fine-tuned version of [indukurs/base-model](https://huggingface.co/indukurs/base-model) on the imdb dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.4540
-- Accuracy: 0.9
-- F1: 0.9013
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the imdb dataset.
 
 ## Model description
 

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "indukurs/base-model",
+  "_name_or_path": "bert-base-uncased",
   "architectures": [
     "BertForSequenceClassification"
   ],

model.safetensors

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+oid sha256:471ab3359ce68584cb824c2e27d4b13ec930e0feff6fd9ce165bfc7639bfdc53
+size 437964888

runs/Nov20_19-29-17_a5268629fa9c/events.out.tfevents.1700509154.a5268629fa9c.2072.3

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+size 826

runs/Nov20_19-58-38_a5268629fa9c/events.out.tfevents.1700510320.a5268629fa9c.2072.4

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special_tokens_map.json

@@ -1,37 +1,7 @@
 {
-  "cls_token": {
-    "content": "[CLS]",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "mask_token": {
-    "content": "[MASK]",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "pad_token": {
-    "content": "[PAD]",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "sep_token": {
-    "content": "[SEP]",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "unk_token": {
-    "content": "[UNK]",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  }
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
 }

tokenizer_config.json

@@ -45,15 +45,11 @@
   "cls_token": "[CLS]",
   "do_lower_case": true,
   "mask_token": "[MASK]",
-  "max_length": 512,
   "model_max_length": 512,
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
-  "stride": 0,
   "strip_accents": null,
   "tokenize_chinese_chars": true,
   "tokenizer_class": "BertTokenizer",
-  "truncation_side": "right",
-  "truncation_strategy": "longest_first",
   "unk_token": "[UNK]"
 }

training_args.bin

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 size 4664