End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3080
-- Matthews Correlation: 0.7406
+- Loss: 0.3644
+- Matthews Correlation: 0.7689
 
 ## Model description
 
@@ -38,8 +38,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -49,13 +49,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
 |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
-| No log        | 1.0   | 225  | 0.3178          | 0.7003               |
-| No log        | 2.0   | 450  | 0.3080          | 0.7406               |
+| No log        | 1.0   | 450  | 0.2765          | 0.7509               |
+| 0.3755        | 2.0   | 900  | 0.3644          | 0.7689               |
 
 
 ### Framework versions
 
-- Transformers 4.41.0
-- Pytorch 2.3.0+cu121
+- Transformers 4.41.1
+- Pytorch 2.1.2
 - Datasets 2.19.1
 - Tokenizers 0.19.1

runs/May24_21-18-50_wifialur46-117.wi-fi.upv.es/events.out.tfevents.1716578330.wifialur46-117.wi-fi.upv.es.26287.0

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