Training complete

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.2531
-- Accuracy: 0.4620
+- Loss: 3.2373
+- Accuracy: 0.4444
 
 ## Model description
 
@@ -48,14 +48,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 428  | 1.8281          | 0.4      |
-| 0.3773        | 2.0   | 856  | 2.8321          | 0.4889   |
-| 0.1679        | 3.0   | 1284 | 3.2531          | 0.4620   |
+| No log        | 1.0   | 428  | 2.8524          | 0.3076   |
+| 0.3941        | 2.0   | 856  | 2.3726          | 0.5602   |
+| 0.1962        | 3.0   | 1284 | 3.2373          | 0.4444   |
 
 
 ### Framework versions
 
-- Transformers 4.35.2
-- Pytorch 2.1.0+cu121
-- Datasets 2.16.1
-- Tokenizers 0.15.1
+- Transformers 4.41.0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

@@ -42,7 +42,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.35.2",
+  "transformers_version": "4.41.0",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 105879

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6f36b585b7563450883985d05cea08e1c0f7254cf36eb4e9a4d64270b790cc64
+oid sha256:e18c75d62f5a85ad5d64965aad42b5cf9469e7e87ab2b87ab60c3909793ddf7b
 size 669464588

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a07722b100fbaf25fbe76ea4fc1d3b9ac174d6b693d3388b2bb05e7437e4eb32
-size 4664
+oid sha256:f6c5ec8231363d5c09f1cff6717d990e2adc83e6da49140de0b8f48a700b5923
+size 5176