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: 1.3427
-- Precision: 0.1176
-- Recall: 0.0435
-- F1: 0.0635
-- Accuracy: 0.7087
+- Loss: 0.1810
+- Precision: 0.8617
+- Recall: 0.8804
+- F1: 0.8710
+- Accuracy: 0.9685
 
 ## Model description
 
@@ -49,15 +49,32 @@ 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: 20
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 13   | 1.8172          | 0.0       | 0.0    | 0.0    | 0.5826   |
-| No log        | 2.0   | 26   | 1.4718          | 0.0       | 0.0    | 0.0    | 0.6880   |
-| No log        | 3.0   | 39   | 1.3427          | 0.1176    | 0.0435 | 0.0635 | 0.7087   |
+| No log        | 1.0   | 13   | 1.7219          | 0.0       | 0.0    | 0.0    | 0.5826   |
+| No log        | 2.0   | 26   | 1.3066          | 0.0       | 0.0    | 0.0    | 0.7141   |
+| No log        | 3.0   | 39   | 0.9443          | 0.0588    | 0.0217 | 0.0317 | 0.7761   |
+| No log        | 4.0   | 52   | 0.6831          | 0.3448    | 0.2174 | 0.2667 | 0.8163   |
+| No log        | 5.0   | 65   | 0.5313          | 0.4516    | 0.4565 | 0.4541 | 0.8739   |
+| No log        | 6.0   | 78   | 0.4245          | 0.5437    | 0.6087 | 0.5744 | 0.9185   |
+| No log        | 7.0   | 91   | 0.3528          | 0.7019    | 0.7935 | 0.7449 | 0.9457   |
+| No log        | 8.0   | 104  | 0.3078          | 0.7551    | 0.8043 | 0.7789 | 0.9554   |
+| No log        | 9.0   | 117  | 0.2709          | 0.7835    | 0.8261 | 0.8042 | 0.9598   |
+| No log        | 10.0  | 130  | 0.2459          | 0.8191    | 0.8370 | 0.8280 | 0.9620   |
+| No log        | 11.0  | 143  | 0.2283          | 0.8696    | 0.8696 | 0.8696 | 0.9674   |
+| No log        | 12.0  | 156  | 0.2108          | 0.8804    | 0.8804 | 0.8804 | 0.9685   |
+| No log        | 13.0  | 169  | 0.2044          | 0.8804    | 0.8804 | 0.8804 | 0.9685   |
+| No log        | 14.0  | 182  | 0.1935          | 0.8710    | 0.8804 | 0.8757 | 0.9685   |
+| No log        | 15.0  | 195  | 0.1875          | 0.8901    | 0.8804 | 0.8852 | 0.9685   |
+| No log        | 16.0  | 208  | 0.1855          | 0.8710    | 0.8804 | 0.8757 | 0.9685   |
+| No log        | 17.0  | 221  | 0.1816          | 0.8901    | 0.8804 | 0.8852 | 0.9685   |
+| No log        | 18.0  | 234  | 0.1819          | 0.8710    | 0.8804 | 0.8757 | 0.9685   |
+| No log        | 19.0  | 247  | 0.1812          | 0.8710    | 0.8804 | 0.8757 | 0.9685   |
+| No log        | 20.0  | 260  | 0.1810          | 0.8617    | 0.8804 | 0.8710 | 0.9685   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:84641251452e5405a21524e9cab1093c0bc714a337bf91c0850df0a48795fbcd
+oid sha256:0bbb191b6c2a4138eb7fdb498c0bf92aeac3f2040a81c17274ccd50c59fd9ca3
 size 265549992

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ee3336df459750a3273af3cb736b409ac34b59fbaf98073fdedc67f18edf3dae
+oid sha256:36fd15c389bcbdd48585cf981ae37549479cf4ffe27165abcc62ea2d97dfbda3
 size 4984