End of training

README.md

@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3019
-- Accuracy: 0.9193
-- F1: 0.9193
+- Loss: 0.2655
+- Accuracy: 0.9195
+- F1: 0.9194
 
 ## Model description
 
@@ -41,24 +41,26 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 64
+- eval_batch_size: 64
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 313  | 0.2786          | 0.9145   | 0.9142 |
-| 0.1372        | 2.0   | 626  | 0.3019          | 0.9193   | 0.9193 |
+| No log        | 1.0   | 157  | 0.2740          | 0.9079   | 0.9075 |
+| No log        | 2.0   | 314  | 0.2392          | 0.9187   | 0.9187 |
+| No log        | 3.0   | 471  | 0.2531          | 0.9203   | 0.9202 |
+| 0.236         | 4.0   | 628  | 0.2655          | 0.9195   | 0.9194 |
 
 
 ### Framework versions
 
-- Transformers 4.56.1
+- Transformers 4.57.1
 - Pytorch 2.8.0+cu126
 - Datasets 4.0.0
-- Tokenizers 0.22.0
+- Tokenizers 0.22.1

config.json

@@ -9,17 +9,17 @@
   "dtype": "float32",
   "hidden_dim": 3072,
   "id2label": {
-    "0": "World",
-    "1": "Sports",
-    "2": "Business",
-    "3": "Sci/Tech"
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3"
   },
   "initializer_range": 0.02,
   "label2id": {
-    "World": 0,
-    "Sports": 1,
-    "Business": 2,
-    "Sci/Tech": 3
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3
   },
   "max_position_embeddings": 512,
   "model_type": "distilbert",
@@ -31,6 +31,6 @@
   "seq_classif_dropout": 0.2,
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
-  "transformers_version": "4.56.1",
+  "transformers_version": "4.57.1",
   "vocab_size": 30522
 }

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training_args.bin

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