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 [google/rembert](https://huggingface.co/google/rembert) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6043
+- Loss: 0.6659
 - Accuracy: 0.9498
 - 1-f1: 0.0
 - 1-recall: 0.0
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 - 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
+- lr_scheduler_warmup_ratio: 0.06
 - num_epochs: 20
 - mixed_precision_training: Native AMP
 
@@ -55,9 +56,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:--------:|:-----------:|:------------:|
-| 0.3688        | 1.0   | 130  | 0.6023          | 0.9498   | 0.0  | 0.0      | 0.0         | 0.5          |
-| 0.1849        | 2.0   | 260  | 0.6466          | 0.9498   | 0.0  | 0.0      | 0.0         | 0.5          |
-| 0.8075        | 3.0   | 390  | 0.6043          | 0.9498   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 0.3594        | 1.0   | 130  | 0.6072          | 0.9498   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 0.0776        | 2.0   | 260  | 0.6739          | 0.9498   | 0.0  | 0.0      | 0.0         | 0.5          |
+| 1.0799        | 3.0   | 390  | 0.6659          | 0.9498   | 0.0  | 0.0      | 0.0         | 0.5          |
 
 
 ### Framework versions

config.json

@@ -3,14 +3,14 @@
   "architectures": [
     "RemBertForSequenceClassification"
   ],
-  "attention_probs_dropout_prob": 0,
+  "attention_probs_dropout_prob": 0.2,
   "bos_token_id": 312,
   "classifier_dropout_prob": 0.1,
   "embedding_dropout_prob": 0,
   "embedding_size": 256,
   "eos_token_id": 313,
   "hidden_act": "gelu",
-  "hidden_dropout_prob": 0,
+  "hidden_dropout_prob": 0.2,
   "hidden_size": 1152,
   "initializer_range": 0.02,
   "input_embedding_size": 256,

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5202f30583e5601619778e83b657d94fdf701463d7183211332cc6c37b83da5d
+oid sha256:179f1336a58ef49d8c10b970f9e478f135881d6d3ee22b6b8d66340cdfccad78
 size 2303755328

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9e501405edb33478372b577c992992dabe85b7ea9f4dc21395e3cdf1bb37392b
+oid sha256:d62560872bf1e69aeed1cc3cebd4da20e8dfd735730ecabd8fa17bedd9a404ba
 size 5432