End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: distilbert-base-cased
+base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
 metrics:
@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # trainer
 
-This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.4915
-- Precision: 0.6065
-- Recall: 0.5119
-- F1: 0.5215
-- Accuracy: 0.5119
+- Loss: 4.5429
+- Precision: 0.6049
+- Recall: 0.5714
+- F1: 0.5559
+- Accuracy: 0.5714
 
 ## Model description
 
@@ -55,14 +55,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.0           | 0.57  | 30   | 3.8135          | 0.6655    | 0.6071 | 0.6173 | 0.6071   |
-| 0.1391        | 1.13  | 60   | 4.2173          | 0.6016    | 0.5119 | 0.5199 | 0.5119   |
-| 0.0399        | 1.7   | 90   | 3.7604          | 0.6025    | 0.5714 | 0.5660 | 0.5714   |
-| 0.0004        | 2.26  | 120  | 4.6200          | 0.5873    | 0.4881 | 0.4964 | 0.4881   |
-| 0.0           | 2.83  | 150  | 4.6164          | 0.6065    | 0.5119 | 0.5215 | 0.5119   |
-| 0.0           | 3.4   | 180  | 4.5299          | 0.6147    | 0.5238 | 0.5328 | 0.5238   |
-| 0.0           | 3.96  | 210  | 4.4992          | 0.6065    | 0.5119 | 0.5215 | 0.5119   |
-| 0.0           | 4.53  | 240  | 4.5022          | 0.6065    | 0.5119 | 0.5215 | 0.5119   |
+| 0.0126        | 0.57  | 30   | 3.5750          | 0.6388    | 0.6190 | 0.6167 | 0.6190   |
+| 0.0144        | 1.13  | 60   | 3.7088          | 0.6787    | 0.6548 | 0.6479 | 0.6548   |
+| 0.0364        | 1.7   | 90   | 3.5580          | 0.6614    | 0.6548 | 0.6488 | 0.6548   |
+| 0.0991        | 2.26  | 120  | 3.8208          | 0.6775    | 0.6429 | 0.6407 | 0.6429   |
+| 0.0           | 2.83  | 150  | 4.5110          | 0.6127    | 0.5833 | 0.5646 | 0.5833   |
+| 0.0           | 3.4   | 180  | 4.5298          | 0.6127    | 0.5833 | 0.5646 | 0.5833   |
+| 0.0           | 3.96  | 210  | 4.5318          | 0.6127    | 0.5833 | 0.5646 | 0.5833   |
+| 0.0           | 4.53  | 240  | 4.5429          | 0.6049    | 0.5714 | 0.5559 | 0.5714   |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "distilbert-base-cased",
+  "_name_or_path": "distilbert-base-uncased",
   "activation": "gelu",
   "architectures": [
     "DistilBertForSequenceClassification"
@@ -31,7 +31,6 @@
   "model_type": "distilbert",
   "n_heads": 12,
   "n_layers": 6,
-  "output_past": true,
   "pad_token_id": 0,
   "problem_type": "single_label_classification",
   "qa_dropout": 0.1,
@@ -40,5 +39,5 @@
   "tie_weights_": true,
   "torch_dtype": "float32",
   "transformers_version": "4.38.2",
-  "vocab_size": 28996
+  "vocab_size": 30522
 }

model.safetensors

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tokenizer_config.json

@@ -44,7 +44,7 @@
   "clean_up_tokenization_spaces": true,
   "cls_token": "[CLS]",
   "do_basic_tokenize": true,
-  "do_lower_case": false,
+  "do_lower_case": true,
   "mask_token": "[MASK]",
   "model_max_length": 512,
   "never_split": null,

training_args.bin

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