End of training

README.md

@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [AnonymousCS/populism_xlmr_large](https://huggingface.co/AnonymousCS/populism_xlmr_large) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6669
+- Loss: 0.2508
 - Accuracy: 0.9316
 - 1-f1: 0.0
 - 1-recall: 0.0
@@ -42,9 +42,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 64
-- eval_batch_size: 64
+- learning_rate: 3e-05
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
@@ -55,10 +55,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:--------:|:-----------:|:------------:|
-| 0.6835        | 1.0   | 24   | 0.6692          | 0.9316   | 0.0  | 0.0      | 0.0         | 0.5          |
-| 0.6129        | 2.0   | 48   | 0.6642          | 0.9316   | 0.0  | 0.0      | 0.0         | 0.5          |
-| 0.6926        | 3.0   | 72   | 0.6646          | 0.9316   | 0.0  | 0.0      | 0.0         | 0.5          |
-| 0.683         | 4.0   | 96   | 0.6669          | 0.9316   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 0.2371        | 1.0   | 95   | 0.2636          | 0.9316   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 0.0784        | 2.0   | 190  | 0.2526          | 0.9316   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 0.3176        | 3.0   | 285  | 0.2519          | 0.9316   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 0.1281        | 4.0   | 380  | 0.2561          | 0.9316   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 0.0834        | 5.0   | 475  | 0.2509          | 0.9316   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 0.2316        | 6.0   | 570  | 0.2528          | 0.9316   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 0.1969        | 7.0   | 665  | 0.2497          | 0.9316   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 0.2617        | 8.0   | 760  | 0.2546          | 0.9316   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 0.1539        | 9.0   | 855  | 0.3100          | 0.9316   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 0.4164        | 10.0  | 950  | 0.2508          | 0.9316   | 0.0  | 0.0      | 0.0         | 0.5          |
 
 
 ### Framework versions

config.json

@@ -3,12 +3,12 @@
   "architectures": [
     "XLMRobertaForSequenceClassification"
   ],
-  "attention_probs_dropout_prob": 0.1,
+  "attention_probs_dropout_prob": 0.2,
   "bos_token_id": 0,
-  "classifier_dropout": null,
+  "classifier_dropout": 0.2,
   "eos_token_id": 2,
   "hidden_act": "gelu",
-  "hidden_dropout_prob": 0.1,
+  "hidden_dropout_prob": 0.2,
   "hidden_size": 1024,
   "initializer_range": 0.02,
   "intermediate_size": 4096,

model.safetensors

@@ -1,3 +1,3 @@
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 size 2239618672

training_args.bin

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 size 5432