End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2420
-- Accuracy: 0.9000
+- Loss: 0.1949
+- Accuracy: 0.875
 
 ## Model description
 
@@ -37,33 +37,38 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.001
-- train_batch_size: 16
-- eval_batch_size: 16
+- learning_rate: 0.0005
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 15
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 23   | 0.4131          | 0.875    |
-| No log        | 2.0   | 46   | 0.4599          | 0.8250   |
-| No log        | 3.0   | 69   | 0.3552          | 0.8250   |
-| No log        | 4.0   | 92   | 0.3887          | 0.8500   |
-| No log        | 5.0   | 115  | 0.3795          | 0.875    |
-| No log        | 6.0   | 138  | 0.3703          | 0.875    |
-| No log        | 7.0   | 161  | 0.2565          | 0.875    |
-| No log        | 8.0   | 184  | 0.4069          | 0.875    |
-| No log        | 9.0   | 207  | 0.2420          | 0.9000   |
-| No log        | 10.0  | 230  | 0.2521          | 0.9000   |
+| No log        | 1.0   | 12   | 0.4873          | 0.7250   |
+| No log        | 2.0   | 24   | 0.3075          | 0.8000   |
+| No log        | 3.0   | 36   | 0.4185          | 0.8000   |
+| No log        | 4.0   | 48   | 0.3031          | 0.8250   |
+| No log        | 5.0   | 60   | 0.3392          | 0.8250   |
+| No log        | 6.0   | 72   | 0.3420          | 0.8500   |
+| No log        | 7.0   | 84   | 0.3509          | 0.8250   |
+| No log        | 8.0   | 96   | 0.3089          | 0.8500   |
+| No log        | 9.0   | 108  | 0.2797          | 0.8250   |
+| No log        | 10.0  | 120  | 0.2378          | 0.8000   |
+| No log        | 11.0  | 132  | 0.2622          | 0.875    |
+| No log        | 12.0  | 144  | 0.2334          | 0.9000   |
+| No log        | 13.0  | 156  | 0.2314          | 0.9000   |
+| No log        | 14.0  | 168  | 0.1987          | 0.875    |
+| No log        | 15.0  | 180  | 0.1949          | 0.875    |
 
 
 ### Framework versions
 
-- Transformers 4.36.2
+- Transformers 4.37.2
 - Pytorch 1.13.1+cu117
 - Datasets 2.16.1
 - Tokenizers 0.15.0

config.json

@@ -20,7 +20,7 @@
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",
-  "transformers_version": "4.36.2",
+  "transformers_version": "4.37.2",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 50265

model.safetensors

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tokenizer.json

@@ -1,12 +1,14 @@
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-  "truncation": {
+  "truncation": null,
+  "padding": {
+    "strategy": "BatchLongest",
     "direction": "Right",
-    "max_length": 512,
-    "strategy": "LongestFirst",
-    "stride": 0
+    "pad_to_multiple_of": null,
+    "pad_id": 1,
+    "pad_type_id": 0,
+    "pad_token": "<pad>"
   },
-  "padding": null,
   "added_tokens": [
     {
       "id": 0,

training_args.bin

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