End of training

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6008
-- Accuracy: 0.8383
-- Precision: 0.4718
-- Recall: 0.5678
-- F1: 0.5154
+- Loss: 0.3698
+- Accuracy: 0.8216
+- Precision: 0.4348
+- Recall: 0.5932
+- F1: 0.5018
 
 ## Model description
 
@@ -44,29 +44,24 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1.7907036378776835e-05
+- learning_rate: 1.6142257525574262e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.1
-- num_epochs: 10
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 0.5272        | 1.0   | 233  | 0.2658          | 0.8460   | 0.4904    | 0.4322 | 0.4595 |
-| 0.4214        | 2.0   | 466  | 0.2973          | 0.8318   | 0.4532    | 0.5339 | 0.4903 |
-| 0.3558        | 3.0   | 699  | 0.1914          | 0.8626   | 0.6341    | 0.2203 | 0.3270 |
-| 0.3019        | 4.0   | 932  | 0.2606          | 0.8370   | 0.4667    | 0.5339 | 0.4980 |
-| 0.2533        | 5.0   | 1165 | 0.2685          | 0.8306   | 0.45      | 0.5339 | 0.4884 |
-| 0.2128        | 6.0   | 1398 | 0.3596          | 0.8216   | 0.4364    | 0.6102 | 0.5088 |
-| 0.1875        | 7.0   | 1631 | 0.5245          | 0.7972   | 0.3980    | 0.6610 | 0.4968 |
-| 0.1605        | 8.0   | 1864 | 0.5786          | 0.8254   | 0.4458    | 0.6271 | 0.5211 |
-| 0.1496        | 9.0   | 2097 | 0.5402          | 0.8293   | 0.4497    | 0.5678 | 0.5019 |
-| 0.1254        | 10.0  | 2330 | 0.6008          | 0.8383   | 0.4718    | 0.5678 | 0.5154 |
+| 0.4927        | 1.0   | 296  | 0.2877          | 0.8434   | 0.4792    | 0.3898 | 0.4299 |
+| 0.3855        | 2.0   | 592  | 0.2566          | 0.8665   | 0.5714    | 0.4746 | 0.5185 |
+| 0.3257        | 3.0   | 888  | 0.2534          | 0.8575   | 0.5368    | 0.4322 | 0.4789 |
+| 0.2553        | 4.0   | 1184 | 0.3290          | 0.8216   | 0.4371    | 0.6186 | 0.5123 |
+| 0.1911        | 5.0   | 1480 | 0.3698          | 0.8216   | 0.4348    | 0.5932 | 0.5018 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e1bc9285e8c96faa51373ae92ca061973228e3599c06f917c6c7aea9369db584
 size 1421495416