Training complete

README.md

@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1965
+- Loss: 1.1229
 
 ## Model description
 
@@ -41,16 +41,18 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 5
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| 1.6485        | 0.9984 | 156  | 1.5191          |
-| 1.2917        | 1.9968 | 312  | 1.2888          |
-| 1.163         | 2.9952 | 468  | 1.1965          |
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.0814        | 1.0   | 125  | 1.7464          |
+| 1.3908        | 2.0   | 250  | 1.3544          |
+| 1.312         | 3.0   | 375  | 1.2367          |
+| 1.1243        | 4.0   | 500  | 1.1627          |
+| 1.0922        | 5.0   | 625  | 1.1229          |
 
 
 ### Framework versions

model.safetensors

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 size 1536844884

training_args.bin

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+size 5112