Model save

README.md

@@ -15,12 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 1.1660
-- eval_runtime: 137.9044
-- eval_samples_per_second: 78.199
-- eval_steps_per_second: 4.887
-- epoch: 1.0
-- step: 5533
+- Loss: 2.1104
 
 ## Model description
 
@@ -45,11 +40,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 12   | 4.5451          |
+| No log        | 2.0   | 24   | 3.0979          |
+| No log        | 3.0   | 36   | 2.4605          |
+| No log        | 4.0   | 48   | 2.1931          |
+| No log        | 5.0   | 60   | 2.1104          |
+
 
 ### Framework versions
 
-- Transformers 4.41.2
-- Pytorch 2.3.0+cu121
-- Datasets 2.19.2
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
 - Tokenizers 0.19.1