Increased the number of training epochs. Accuracty and F1 score would benefit from yet further training.

README.md

@@ -18,9 +18,9 @@ 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:
-- Loss: 1.0017
-- Accuracy: 0.708
-- F1: 0.6943
+- Loss: 0.9082
+- Accuracy: 0.7314
+- F1: 0.7222
 
 ## Model description
 
@@ -45,14 +45,15 @@ 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: 2
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 1.6735        | 1.0   | 1101 | 1.1259          | 0.6794   | 0.6638 |
-| 1.0646        | 2.0   | 2202 | 1.0017          | 0.708    | 0.6943 |
+| 1.6559        | 1.0   | 1101 | 1.0917          | 0.6792   | 0.6623 |
+| 1.0185        | 2.0   | 2202 | 0.9466          | 0.7214   | 0.7103 |
+| 0.8851        | 3.0   | 3303 | 0.9082          | 0.7314   | 0.7222 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:6f576f4e6434a120ce716aa5bb0a33a035a2f913c9db88844fcc2f5d6df02147
 size 267924856