kalai_bert_model_test_3

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: albert/albert-base-v2
+base_model: KalaiselvanD/kalai_bert_model_test_3_out
 tags:
 - generated_from_trainer
 metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # kalai_bert_model_test_3_out
 
-This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) on the None dataset.
+This model is a fine-tuned version of [KalaiselvanD/kalai_bert_model_test_3_out](https://huggingface.co/KalaiselvanD/kalai_bert_model_test_3_out) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1666
-- Accuracy: 0.97
+- Loss: 0.0761
+- Accuracy: 1.0
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 25   | 0.5741          | 0.89     |
-| No log        | 2.0   | 50   | 0.2531          | 0.95     |
-| No log        | 3.0   | 75   | 0.1666          | 0.97     |
+| No log        | 1.0   | 4    | 0.1840          | 1.0      |
+| No log        | 2.0   | 8    | 0.0899          | 1.0      |
+| No log        | 3.0   | 12   | 0.0761          | 1.0      |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "albert/albert-base-v2",
+  "_name_or_path": "KalaiselvanD/kalai_bert_model_test_3_out",
   "architectures": [
     "AlbertForSequenceClassification"
   ],

model.safetensors

@@ -1,3 +1,3 @@
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 size 46746988

runs/Apr23_08-02-42_fab8c8c5b8db/events.out.tfevents.1713859362.fab8c8c5b8db.215.50

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runs/Apr23_08-02-42_fab8c8c5b8db/events.out.tfevents.1713859404.fab8c8c5b8db.215.51

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+size 405

special_tokens_map.json

@@ -1,7 +1,25 @@
 {
-  "bos_token": "[CLS]",
-  "cls_token": "[CLS]",
-  "eos_token": "[SEP]",
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
   "mask_token": {
     "content": "[MASK]",
     "lstrip": true,
@@ -9,7 +27,25 @@
     "rstrip": false,
     "single_word": false
   },
-  "pad_token": "<pad>",
-  "sep_token": "[SEP]",
-  "unk_token": "<unk>"
+  "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
+  }
 }

tokenizer_config.json

@@ -48,10 +48,14 @@
   "eos_token": "[SEP]",
   "keep_accents": false,
   "mask_token": "[MASK]",
+  "max_length": 512,
   "model_max_length": 512,
   "pad_token": "<pad>",
   "remove_space": true,
   "sep_token": "[SEP]",
+  "stride": 0,
   "tokenizer_class": "AlbertTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
   "unk_token": "<unk>"
 }

training_args.bin

@@ -1,3 +1,3 @@
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 size 4984