janedsa/bert

README.md

@@ -1,8 +1,8 @@
 ---
 license: apache-2.0
+base_model: bert-base-uncased
 tags:
 - generated_from_trainer
-base_model: bert-base-uncased
 metrics:
 - accuracy
 model-index:
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3498
-- Accuracy: 0.8758
+- Loss: 0.1397
+- Accuracy: 0.9458
 
 ## Model description
 
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.9959        | 1.0   | 858  | 0.7793          | 0.6508   |
-| 0.7446        | 2.0   | 1716 | 0.5835          | 0.7643   |
-| 0.5654        | 3.0   | 2574 | 0.4591          | 0.8218   |
-| 0.4543        | 4.0   | 3432 | 0.3731          | 0.8603   |
-| 0.3487        | 5.0   | 4290 | 0.3498          | 0.8758   |
+| 0.8811        | 1.0   | 1489 | 0.6422          | 0.7295   |
+| 0.6521        | 2.0   | 2978 | 0.4316          | 0.8350   |
+| 0.4775        | 3.0   | 4467 | 0.2621          | 0.9044   |
+| 0.3603        | 4.0   | 5956 | 0.1847          | 0.9309   |
+| 0.2714        | 5.0   | 7445 | 0.1397          | 0.9458   |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "/content/model/checkpoint-3432",
+  "_name_or_path": "bert-base-uncased",
   "architectures": [
     "BertForSequenceClassification"
   ],

model.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:e48ec26e6b5e25979eb0d2882ae22cfb8437becd2c39960eff95c7d6735dd6e3
+oid sha256:54e801a6dfb111b0cc0b153d815db891f166fdcbabb3e61de5aa5f3c43792991
 size 437961724

runs/Apr24_14-04-03_a33b917346c1/events.out.tfevents.1713967444.a33b917346c1.1010.0

@@ -0,0 +1,3 @@
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+size 9714

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

@@ -1,3 +1,3 @@
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+oid sha256:7b422c2e1b19308d7818ef9887cd11b3e69e1422e01d2bbc9a2462f62e900388
 size 4984