End of training

README.md

@@ -20,11 +20,11 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3761
-- Precision: 0.6341
-- Recall: 0.75
-- F1: 0.6746
-- Accuracy: 0.75
+- Loss: 0.1481
+- Precision: 0.9737
+- Recall: 0.9773
+- F1: 0.9742
+- Accuracy: 0.9737
 
 ## Model description
 
@@ -49,23 +49,15 @@ 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: 15
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.0375        | 1.28  | 50   | 0.0             | 1.0       | 1.0    | 1.0    | 1.0      |
-| 0.5727        | 2.56  | 100  | 0.1253          | 0.9868    | 0.9868 | 0.9865 | 0.9868   |
-| 0.1062        | 3.85  | 150  | 0.0009          | 1.0       | 1.0    | 1.0    | 1.0      |
-| 0.4201        | 5.13  | 200  | 0.5864          | 0.6310    | 0.7353 | 0.6643 | 0.7368   |
-| 0.4665        | 6.41  | 250  | 0.4016          | 0.6159    | 0.75   | 0.6583 | 0.7105   |
-| 0.4445        | 7.69  | 300  | 0.3748          | 0.6341    | 0.75   | 0.6746 | 0.75     |
-| 0.3779        | 8.97  | 350  | 0.3921          | 0.6159    | 0.75   | 0.6583 | 0.7105   |
-| 0.3739        | 10.26 | 400  | 0.3803          | 0.6159    | 0.75   | 0.6583 | 0.7105   |
-| 0.3726        | 11.54 | 450  | 0.3755          | 0.6341    | 0.75   | 0.6746 | 0.75     |
-| 0.3596        | 12.82 | 500  | 0.3746          | 0.6341    | 0.75   | 0.6746 | 0.75     |
-| 0.3806        | 14.1  | 550  | 0.3760          | 0.6341    | 0.75   | 0.6746 | 0.75     |
+| 0.4533        | 0.77  | 30   | 0.5054          | 0.9059    | 0.8777 | 0.8782 | 0.8816   |
+| 0.4715        | 1.54  | 60   | 0.3453          | 0.9618    | 0.9641 | 0.9619 | 0.9605   |
+| 0.268         | 2.31  | 90   | 0.1294          | 0.9625    | 0.9659 | 0.9614 | 0.9605   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d07a7b4269c041cfa240eff67165d3082120907aa6d32266676f163e4fbcb509
+oid sha256:19e8b023f1d2b0906f11d1a5f9fc162a481f5666a64329f4e5109d9edb663b15
 size 267838720

runs/Jan18_12-00-06_3c59cc46f7a9/events.out.tfevents.1705579206.3c59cc46f7a9.1662.50

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e62defa91d92c4fad767407098781ed0189606df9a88f2af4df2c581b44e7f20
+size 6748

runs/Jan18_12-00-06_3c59cc46f7a9/events.out.tfevents.1705579220.3c59cc46f7a9.1662.51

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7758e747933094c1d3ad0862c693f18d2d7ca390e1f367c3921b434b5c0b85e2
+size 1014

runs/Jan18_12-05-10_3c59cc46f7a9/events.out.tfevents.1705579510.3c59cc46f7a9.1662.60

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1812f015a0796f3b8097ab4627afc127ce5ab66567a220200136f78d85c1aac2
+size 6748

runs/Jan18_12-05-10_3c59cc46f7a9/events.out.tfevents.1705579525.3c59cc46f7a9.1662.61

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5174681bd17e3cd371968cc3e1a7c9cda6a2673ac625b2b2a5fc4b610c2a00cb
+size 1014

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c5a9374ceff024ac443e9ec084da3dcd11c902db02b98546a0f114336c414cd5
+oid sha256:b5782369a2242c82480ca714f7da82427c47f7ab2fef58210b5e5b0e5eb194ff
 size 4728