End of training

README.md

@@ -15,11 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # nutrivision-roberta
 
 This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 64.6999
-- Mse: 64.6999
-- Rmse: 8.0436
-- R2: -0.7557
 
 ## Model description
 
@@ -45,19 +40,15 @@ The following hyperparameters were used during training:
 - optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_ratio: 0.03
-- num_epochs: 1
+- num_epochs: 5
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Mse     | Rmse   | R2      |
-|:-------------:|:------:|:----:|:---------------:|:-------:|:------:|:-------:|
-| 400.7439      | 0.4348 | 10   | 92.1141         | 92.1141 | 9.5976 | -1.4997 |
-| 240.2138      | 0.8696 | 20   | 64.6999         | 64.6999 | 8.0436 | -0.7557 |
 
 
 ### Framework versions
 
-- Transformers 4.48.3
-- Pytorch 2.5.1+cu124
-- Datasets 3.6.0
-- Tokenizers 0.21.0
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu124
+- Datasets 2.14.4
+- Tokenizers 0.21.1