Training completed!

README.md

@@ -18,8 +18,8 @@ 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: 0.8032
-- Accuracy: 0.9168
+- Loss: 0.8083
+- Accuracy: 0.9161
 
 ## Model description
 
@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 4.3135        | 1.0   | 318  | 3.3064          | 0.7216   |
-| 2.6572        | 2.0   | 636  | 1.9022          | 0.8461   |
-| 1.5805        | 3.0   | 954  | 1.1884          | 0.8868   |
-| 1.0451        | 4.0   | 1272 | 0.8897          | 0.9090   |
-| 0.8252        | 5.0   | 1590 | 0.8032          | 0.9168   |
+| 4.3211        | 1.0   | 318  | 3.3248          | 0.7210   |
+| 2.6732        | 2.0   | 636  | 1.9187          | 0.8406   |
+| 1.5914        | 3.0   | 954  | 1.1971          | 0.8877   |
+| 1.0497        | 4.0   | 1272 | 0.8947          | 0.9090   |
+| 0.8283        | 5.0   | 1590 | 0.8083          | 0.9161   |
 
 
 ### Framework versions
 
-- Transformers 4.46.0
-- Pytorch 2.5.0
-- Datasets 3.0.2
-- Tokenizers 0.20.1
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

config.json

@@ -326,6 +326,6 @@
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.46.0",
+  "transformers_version": "4.47.1",
   "vocab_size": 30522
 }

model.safetensors

@@ -1,3 +1,3 @@
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 size 268290900

runs/Dec19_16-10-04_P920/events.out.tfevents.1734596344.P920.523961.0

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runs/Dec19_16-10-04_P920/events.out.tfevents.1734597050.P920.523961.1

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tokenizer.json

@@ -1,6 +1,11 @@
 {
   "version": "1.0",
-  "truncation": null,
+  "truncation": {
+    "direction": "Right",
+    "max_length": 512,
+    "strategy": "LongestFirst",
+    "stride": 0
+  },
   "padding": null,
   "added_tokens": [
     {

tokenizer_config.json

@@ -44,6 +44,7 @@
   "clean_up_tokenization_spaces": false,
   "cls_token": "[CLS]",
   "do_lower_case": true,
+  "extra_special_tokens": {},
   "mask_token": "[MASK]",
   "model_max_length": 512,
   "pad_token": "[PAD]",

training_args.bin

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+size 5368