End of training

README.md

@@ -1,5 +1,6 @@
 ---
 license: mit
+base_model: roberta-large
 tags:
 - generated_from_trainer
 metrics:
@@ -17,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 0.7859
-- Accuracy: 0.718
-- F1: 0.7914
+- Loss: 0.7605
+- Accuracy: 0.714
+- F1: 0.7875
 
 ## Model description
 
@@ -51,14 +52,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.6194        | 1.0   | 1502 | 0.5327          | 0.761    | 0.8244 |
-| 0.5809        | 2.0   | 3004 | 0.5719          | 0.718    | 0.7758 |
-| 0.527         | 3.0   | 4506 | 0.7859          | 0.718    | 0.7914 |
+| 0.631         | 1.0   | 1502 | 0.5333          | 0.766    | 0.8264 |
+| 0.5734        | 2.0   | 3004 | 0.5500          | 0.752    | 0.8195 |
+| 0.5938        | 3.0   | 4506 | 0.7605          | 0.714    | 0.7875 |
 
 
 ### Framework versions
 
-- Transformers 4.30.2
+- Transformers 4.31.0
 - Pytorch 2.0.1+cu118
 - Datasets 2.13.1
 - Tokenizers 0.13.3

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:034c1d651475a606910865c3b1ed1345045e170e89e2017e0f184a968c3b5255
+oid sha256:5677673d15d640976d4a79114bb144e1a5a5ec59bd7806d40d8ce16695aa5767
 size 1421582769

runs/Jul19_05-55-03_86754652ac5d/events.out.tfevents.1689746448.86754652ac5d.376.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2841e1adf219ae4ae9f4ec2af06b9700285f7bcd4a96edf1d4456fae68d5eb53
-size 6239
+oid sha256:3e101781f25f271dce592d1f8a86eeacff4fe9a425aa19925bce95fe1926aced
+size 6962