Model save

README.md

@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5272
-- Icm: 0.2161
-- Icmnorm: 0.6098
-- Fmeasure: 0.7394
+- Loss: 1.3928
+- Icm: 0.1952
+- Icmnorm: 0.5990
+- Fmeasure: 0.7314
 
 ## Model description
 
@@ -44,16 +44,22 @@ The following hyperparameters were used during training:
 - distributed_type: multi-GPU
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 9
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Icm    | Icmnorm | Fmeasure |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
-| No log        | 1.0   | 193  | 0.5272          | 0.2161 | 0.6098  | 0.7394   |
-| No log        | 2.0   | 386  | 0.6158          | 0.0402 | 0.5204  | 0.6763   |
-| 0.5577        | 3.0   | 579  | 0.6748          | 0.1302 | 0.5661  | 0.7128   |
+| Training Loss | Epoch | Step | Validation Loss | Icm     | Icmnorm | Fmeasure |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:--------:|
+| No log        | 1.0   | 193  | 0.6612          | -0.3497 | 0.3226  | 0.4177   |
+| No log        | 2.0   | 386  | 0.6217          | -0.0293 | 0.4852  | 0.6472   |
+| 0.5647        | 3.0   | 579  | 0.7180          | 0.1307  | 0.5663  | 0.7038   |
+| 0.5647        | 4.0   | 772  | 1.2145          | 0.0950  | 0.5482  | 0.6990   |
+| 0.5647        | 5.0   | 965  | 1.3928          | 0.1952  | 0.5990  | 0.7314   |
+| 0.2796        | 6.0   | 1158 | 1.6795          | 0.1572  | 0.5797  | 0.7219   |
+| 0.2796        | 7.0   | 1351 | 1.8672          | 0.0904  | 0.5459  | 0.6999   |
+| 0.0952        | 8.0   | 1544 | 1.9375          | 0.1047  | 0.5531  | 0.7043   |
+| 0.0952        | 9.0   | 1737 | 1.8258          | 0.1858  | 0.5942  | 0.7304   |
 
 
 ### Framework versions

model.safetensors

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 size 498612824

runs/Apr22_16-29-40_tardis/events.out.tfevents.1713796449.tardis.88548.5

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