End of training

README.md

@@ -21,12 +21,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1213
-- Accuracy: 0.2647
-- F1: 0.1108
-- Precision: 0.0701
-- Recall: 0.2647
-- Sensitivity: 0.2647
+- Loss: 1.3900
+- Accuracy: 0.3235
+- F1: 0.3095
+- Precision: 0.4512
+- Recall: 0.3235
+- Sensitivity: 0.3235
 
 ## Model description
 
@@ -54,14 +54,25 @@ The following hyperparameters were used during training:
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 2
+- num_epochs: 15
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Sensitivity |
-|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-----------:|
-| No log        | 0.8571 | 3    | 1.1212          | 0.2647   | 0.1108 | 0.0701    | 0.2647 | 0.2647      |
-| No log        | 1.7143 | 6    | 1.1213          | 0.2647   | 0.1108 | 0.0701    | 0.2647 | 0.2647      |
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Sensitivity |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-----------:|
+| No log        | 0.8571  | 3    | 1.1235          | 0.2647   | 0.1108 | 0.0701    | 0.2647 | 0.2647      |
+| No log        | 2.0     | 7    | 1.1253          | 0.2647   | 0.1108 | 0.0701    | 0.2647 | 0.2647      |
+| 1.0608        | 2.8571  | 10   | 1.1178          | 0.2647   | 0.1162 | 0.0744    | 0.2647 | 0.2647      |
+| 1.0608        | 4.0     | 14   | 1.1206          | 0.2941   | 0.1740 | 0.4886    | 0.2941 | 0.2941      |
+| 1.0608        | 4.8571  | 17   | 1.1225          | 0.2941   | 0.2083 | 0.3475    | 0.2941 | 0.2941      |
+| 0.9214        | 6.0     | 21   | 1.1167          | 0.4412   | 0.4108 | 0.5259    | 0.4412 | 0.4412      |
+| 0.9214        | 6.8571  | 24   | 1.0754          | 0.5      | 0.4625 | 0.4954    | 0.5    | 0.5         |
+| 0.9214        | 8.0     | 28   | 1.1578          | 0.4118   | 0.3959 | 0.4304    | 0.4118 | 0.4118      |
+| 0.6179        | 8.8571  | 31   | 1.2143          | 0.3824   | 0.3663 | 0.4120    | 0.3824 | 0.3824      |
+| 0.6179        | 10.0    | 35   | 1.3170          | 0.4118   | 0.4169 | 0.5174    | 0.4118 | 0.4118      |
+| 0.6179        | 10.8571 | 38   | 1.3484          | 0.3529   | 0.3484 | 0.4777    | 0.3529 | 0.3529      |
+| 0.3513        | 12.0    | 42   | 1.3904          | 0.3235   | 0.3095 | 0.4512    | 0.3235 | 0.3235      |
+| 0.3513        | 12.8571 | 45   | 1.3900          | 0.3235   | 0.3095 | 0.4512    | 0.3235 | 0.3235      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c93a17d94cee445e13340c8e09e56d4f3d3a5d31c92982ff1c3e841fb880940c
+oid sha256:f546e6ce9cef937699fbc4fa7884ddcb1c5efc327e7e1bc315b7b3e74dbbb615
 size 82901300