End of training

README.md

@@ -3,6 +3,11 @@ license: apache-2.0
 base_model: asapp/sew-d-tiny-100k-ft-ls100h
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
 model-index:
 - name: sewd_classifier
   results: []
@@ -14,6 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
 # sewd_classifier
 
 This model is a fine-tuned version of [asapp/sew-d-tiny-100k-ft-ls100h](https://huggingface.co/asapp/sew-d-tiny-100k-ft-ls100h) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.9535
+- Accuracy: 0.0605
+- Precision: 0.0136
+- Recall: 0.0605
+- F1: 0.0179
+- Binary: 0.3308
 
 ## Model description
 
@@ -43,6 +55,23 @@ The following hyperparameters were used during training:
 - num_epochs: 10
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Binary |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
+| No log        | 0.86  | 50   | 4.4184          | 0.0194   | 0.0009    | 0.0194 | 0.0017 | 0.1934 |
+| 4.4292        | 1.72  | 100  | 4.3532          | 0.0243   | 0.0032    | 0.0243 | 0.0046 | 0.2325 |
+| 4.3785        | 2.59  | 150  | 4.2824          | 0.0267   | 0.0025    | 0.0267 | 0.0040 | 0.2481 |
+| 4.2885        | 3.45  | 200  | 4.2182          | 0.0510   | 0.0310    | 0.0510 | 0.0178 | 0.2917 |
+| 4.2147        | 4.31  | 250  | 4.1618          | 0.0607   | 0.0171    | 0.0607 | 0.0217 | 0.3165 |
+| 4.1553        | 5.17  | 300  | 4.1076          | 0.0631   | 0.0310    | 0.0631 | 0.0243 | 0.3245 |
+| 4.1025        | 6.03  | 350  | 4.0650          | 0.0631   | 0.0285    | 0.0631 | 0.0252 | 0.3282 |
+| 4.1025        | 6.9   | 400  | 4.0315          | 0.0607   | 0.0155    | 0.0607 | 0.0183 | 0.3323 |
+| 4.0669        | 7.76  | 450  | 4.0075          | 0.0607   | 0.0135    | 0.0607 | 0.0173 | 0.3299 |
+| 4.0386        | 8.62  | 500  | 3.9906          | 0.0631   | 0.0181    | 0.0631 | 0.0205 | 0.3337 |
+| 4.0171        | 9.48  | 550  | 3.9803          | 0.0655   | 0.0188    | 0.0655 | 0.0211 | 0.3386 |
+
+
 ### Framework versions
 
 - Transformers 4.38.2

runs/Jun13_14-48-29_LAPTOP-1GID9RGH/events.out.tfevents.1718265214.LAPTOP-1GID9RGH.9496.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:33de55279bf32852880b7dd99fa67b78fcd01f8b1c6a47741fdd78811932359b
+size 610