End of training

README.md

@@ -18,9 +18,9 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6140
-- Accuracy: 0.8
-- F1: 0.7810
+- Loss: 1.7061
+- Accuracy: 0.2
+- F1: 0.0667
 
 ## Model description
 
@@ -55,5 +55,5 @@ The following hyperparameters were used during training:
 
 - Transformers 4.40.1
 - Pytorch 2.2.1+cu121
-- Datasets 2.19.0
+- Datasets 2.19.1
 - Tokenizers 0.19.1

config.json

@@ -9,8 +9,22 @@
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4"
+  },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4
+  },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
   "model_type": "bert",

model.safetensors

@@ -1,3 +1,3 @@
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+size 437967876

runs/May08_11-10-50_bccde43d8a1e/events.out.tfevents.1715166658.bccde43d8a1e.306.0

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runs/May08_11-10-50_bccde43d8a1e/events.out.tfevents.1715167078.bccde43d8a1e.306.1

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training_args.bin

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