Training in progress epoch 0

README.md

@@ -17,11 +17,11 @@ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingf
 It achieves the following results on the evaluation set:
 - Train Loss: nan
 - Validation Loss: nan
-- Train Precision: 0.0864
-- Train Recall: 0.2258
-- Train F1: 0.1249
-- Train Accuracy: 0.1781
-- Epoch: 1
+- Train Precision: 0.0275
+- Train Recall: 0.0668
+- Train F1: 0.0389
+- Train Accuracy: 0.0566
+- Epoch: 0
 
 ## Model description
 
@@ -47,13 +47,12 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
-| nan        | nan             | 0.0864          | 0.2258       | 0.1249   | 0.1781         | 0     |
-| nan        | nan             | 0.0864          | 0.2258       | 0.1249   | 0.1781         | 1     |
+| nan        | nan             | 0.0275          | 0.0668       | 0.0389   | 0.0566         | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.41.1
+- Transformers 4.41.2
 - TensorFlow 2.15.0
 - Datasets 2.19.2
 - Tokenizers 0.19.1

config.json

@@ -15,17 +15,19 @@
     "3": "I-PERSON",
     "4": "B-TRANSFER",
     "5": "I-TRANSFER",
-    "6": "O"
+    "6": "B-IFSCCODE",
+    "7": "O"
   },
   "initializer_range": 0.02,
   "label2id": {
+    "B-IFSCCODE": 6,
     "B-ORGANISATION": 0,
     "B-PERSON": 2,
     "B-TRANSFER": 4,
     "I-ORGANISATION": 1,
     "I-PERSON": 3,
     "I-TRANSFER": 5,
-    "O": 6
+    "O": 7
   },
   "max_position_embeddings": 512,
   "model_type": "distilbert",
@@ -36,6 +38,6 @@
   "seq_classif_dropout": 0.2,
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
-  "transformers_version": "4.41.1",
+  "transformers_version": "4.41.2",
   "vocab_size": 30522
 }

logs/train/events.out.tfevents.1717654165.8a3e9ad428c6.2439.0.v2

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logs/validation/events.out.tfevents.1717654329.8a3e9ad428c6.2439.1.v2

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tf_model.h5

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