Initial Commit

README.md

@@ -17,8 +17,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3184
-- Accuracy: 0.8656
+- Loss: 0.9762
+- Accuracy: 0.8739
 
 ## Model description
 
@@ -38,10 +38,10 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 8
+- train_batch_size: 16
 - eval_batch_size: 32
 - seed: 42
-- gradient_accumulation_steps: 4
+- gradient_accumulation_steps: 2
 - total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -51,19 +51,27 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 2.0351        | 1.0   | 3273  | 1.4221          | 0.8567   |
-| 1.4555        | 2.0   | 6546  | 1.4660          | 0.8504   |
-| 0.9549        | 3.0   | 9819  | 1.4297          | 0.8678   |
-| 0.7553        | 4.0   | 13093 | 1.4296          | 0.8631   |
-| 0.66          | 5.0   | 16366 | 1.2841          | 0.8653   |
-| 0.5769        | 6.0   | 19639 | 1.3951          | 0.8609   |
-| 0.5347        | 7.0   | 22912 | 1.3986          | 0.8607   |
-| 0.4957        | 8.0   | 26186 | 1.3184          | 0.8656   |
+| 1.5564        | 1.0   | 3273  | 1.2134          | 0.8580   |
+| 1.0321        | 2.0   | 6547  | 1.2086          | 0.8484   |
+| 0.7719        | 3.0   | 9820  | 1.0734          | 0.8658   |
+| 0.6442        | 4.0   | 13094 | 1.0303          | 0.8708   |
+| 0.5748        | 5.0   | 16367 | 1.0708          | 0.8697   |
+| 0.5294        | 6.0   | 19641 | 1.0210          | 0.8699   |
+| 0.4891        | 7.0   | 22914 | 0.9795          | 0.8763   |
+| 0.4704        | 8.0   | 26188 | 0.9826          | 0.8750   |
+| 0.4382        | 9.0   | 29461 | 0.9420          | 0.8726   |
+| 0.4238        | 10.0  | 32735 | 1.0060          | 0.8724   |
+| 0.4066        | 11.0  | 36008 | 0.9511          | 0.8788   |
+| 0.3885        | 12.0  | 39282 | 0.9843          | 0.8741   |
+| 0.3793        | 13.0  | 42555 | 0.9625          | 0.8763   |
+| 0.3663        | 14.0  | 45829 | 0.9639          | 0.8768   |
+| 0.3575        | 15.0  | 49102 | 0.9728          | 0.8761   |
+| 0.3498        | 16.0  | 52376 | 0.9762          | 0.8739   |
 
 
 ### Framework versions
 
-- Transformers 4.36.2
-- Pytorch 2.1.2
-- Datasets 2.16.0
-- Tokenizers 0.15.0
+- Transformers 4.33.3
+- Pytorch 2.1.1
+- Datasets 2.14.5
+- Tokenizers 0.13.3

config.json

@@ -20,7 +20,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.36.2",
+  "transformers_version": "4.33.3",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 30522

pytorch_model.bin

@@ -0,0 +1,3 @@
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+size 267862062

training_args.bin

@@ -1,3 +1,3 @@
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