End of training

README.md

@@ -21,11 +21,11 @@ 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: 0.6855
-- Accuracy: 0.6
-- F1: 0.75
-- Precision: 0.6
-- Recall: 1.0
+- Loss: 0.6932
+- Accuracy: 0.5385
+- F1: 0.6667
+- Precision: 0.5455
+- Recall: 0.8571
 
 ## Model description
 
@@ -54,16 +54,16 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1   | Precision | Recall |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:---------:|:------:|
-| No log        | 1.0   | 6    | 0.6803          | 0.6      | 0.75 | 0.6       | 1.0    |
-| 0.6791        | 2.0   | 12   | 0.6813          | 0.6      | 0.75 | 0.6       | 1.0    |
-| 0.6791        | 3.0   | 18   | 0.6855          | 0.6      | 0.75 | 0.6       | 1.0    |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| No log        | 1.0   | 8    | 0.6924          | 0.6154   | 0.7059 | 0.6       | 0.8571 |
+| 0.6942        | 2.0   | 16   | 0.6922          | 0.5385   | 0.6667 | 0.5455    | 0.8571 |
+| 0.6956        | 3.0   | 24   | 0.6932          | 0.5385   | 0.6667 | 0.5455    | 0.8571 |
 
 
 ### Framework versions
 
-- Transformers 4.52.3
+- Transformers 4.52.4
 - Pytorch 2.6.0+cu124
 - Datasets 3.6.0
 - Tokenizers 0.21.1

config.json

@@ -9,14 +9,14 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "Not worth betting",
-    "1": "Worth betting"
+    "0": "Not_worth_betting",
+    "1": "Worth_betting"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "Not worth betting": 0,
-    "Worth betting": 1
+    "Not_worth_betting": 0,
+    "Worth_betting": 1
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
@@ -27,7 +27,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.52.3",
+  "transformers_version": "4.52.4",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 30522

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f2d5e89c4a1ddddeb6e9e7e895e6e672acd6f30b9af872e3918cecddfac62448
+oid sha256:d4f01ddee00072750b0d348369b04fe91b4d9cdb8a79443a50f54f5335a7088b
 size 437958648