Training complete

README.md

@@ -17,8 +17,8 @@ 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: 0.2460
-- Accuracy: 0.9452
+- Loss: 0.2715
+- Accuracy: 0.9465
 
 ## Model description
 
@@ -49,21 +49,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.0506        | 1.0   | 318  | 1.4320          | 0.7332   |
-| 1.1099        | 2.0   | 636  | 0.7183          | 0.8694   |
-| 0.5881        | 3.0   | 954  | 0.4214          | 0.9145   |
-| 0.3642        | 4.0   | 1272 | 0.3153          | 0.9355   |
-| 0.2738        | 5.0   | 1590 | 0.2772          | 0.9394   |
-| 0.2359        | 6.0   | 1908 | 0.2630          | 0.9423   |
-| 0.2179        | 7.0   | 2226 | 0.2540          | 0.9442   |
-| 0.2079        | 8.0   | 2544 | 0.2495          | 0.9442   |
-| 0.2025        | 9.0   | 2862 | 0.2464          | 0.9452   |
-| 0.1997        | 10.0  | 3180 | 0.2460          | 0.9452   |
+| 2.2778        | 1.0   | 318  | 1.6183          | 0.7335   |
+| 1.2551        | 2.0   | 636  | 0.8195          | 0.8681   |
+| 0.6656        | 3.0   | 954  | 0.4786          | 0.9148   |
+| 0.4077        | 4.0   | 1272 | 0.3549          | 0.9335   |
+| 0.3012        | 5.0   | 1590 | 0.3083          | 0.9410   |
+| 0.2553        | 6.0   | 1908 | 0.2912          | 0.9429   |
+| 0.2336        | 7.0   | 2226 | 0.2805          | 0.9445   |
+| 0.2217        | 8.0   | 2544 | 0.2754          | 0.9465   |
+| 0.2154        | 9.0   | 2862 | 0.2720          | 0.9471   |
+| 0.2122        | 10.0  | 3180 | 0.2715          | 0.9465   |
 
 
 ### Framework versions
 
-- Transformers 4.40.0
-- Pytorch 2.2.1+cu121
+- Transformers 4.38.2
+- Pytorch 2.2.2+cu118
 - Datasets 2.19.0
-- Tokenizers 0.19.1
+- Tokenizers 0.15.2

config.json

@@ -326,6 +326,6 @@
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.40.0",
+  "transformers_version": "4.38.2",
   "vocab_size": 30522
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2d88f624831003015e12ff50b4d80c1fc160861d53c26e3a1e53c99e1576fcfd
+oid sha256:d5334ab077948301517697fee74eeda8bb1632486cd41df91063901a004e7388
 size 268290900

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

@@ -45,7 +45,7 @@
   "cls_token": "[CLS]",
   "do_lower_case": true,
   "mask_token": "[MASK]",
-  "model_max_length": 1000000000000000019884624838656,
+  "model_max_length": 512,
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
   "strip_accents": null,

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:db5ca3cf4371bd9c41d4a498c64e41dc02ea6d28736d635e243b898d023445b7
-size 5112
+oid sha256:02b26edeb6794162409547f293b47c5c5690b816f3acfe8f7ec05c57c06d8d68
+size 4984