End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 103.12984195847537
+      value: 85.22752415369865
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Papi ASR dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.7410
-- Wer: 103.1298
-- Cer: 57.7072
+- Loss: 2.0809
+- Wer: 85.2275
+- Cer: 34.1432
 
 ## Model description
 
@@ -61,17 +61,33 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 20
+- training_steps: 100
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer      | Cer     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------:|
-| No log        | 0.36  | 5    | 4.9178          | 105.9808 | 61.3368 |
-| No log        | 0.71  | 10   | 4.9084          | 105.9343 | 61.3170 |
-| No log        | 1.07  | 15   | 4.8855          | 106.0273 | 61.4095 |
-| No log        | 1.43  | 20   | 4.7410          | 103.1298 | 57.7072 |
+| No log        | 0.01  | 5    | 4.6530          | 101.2317 | 53.1862 |
+| No log        | 0.01  | 10   | 4.6414          | 102.1683 | 53.8408 |
+| No log        | 0.02  | 15   | 4.6073          | 102.0577 | 53.5251 |
+| No log        | 0.03  | 20   | 4.5651          | 101.3275 | 52.8798 |
+| 4.5851        | 0.04  | 25   | 4.3546          | 100.9956 | 52.4930 |
+| 4.5851        | 0.04  | 30   | 4.2726          | 98.9158  | 50.6731 |
+| 4.5851        | 0.05  | 35   | 4.1573          | 98.3922  | 50.3358 |
+| 4.5851        | 0.06  | 40   | 3.9879          | 96.8360  | 48.6228 |
+| 4.5851        | 0.07  | 45   | 3.8552          | 96.4747  | 47.4498 |
+| 4.1061        | 0.07  | 50   | 3.6580          | 94.7710  | 47.1001 |
+| 4.1061        | 0.08  | 55   | 3.4486          | 93.1780  | 45.8250 |
+| 4.1061        | 0.09  | 60   | 3.2790          | 94.1441  | 46.0849 |
+| 4.1061        | 0.1   | 65   | 3.1437          | 93.4730  | 45.1332 |
+| 4.1061        | 0.1   | 70   | 3.0021          | 91.7029  | 42.6202 |
+| 3.2929        | 0.11  | 75   | 2.8536          | 92.1086  | 41.3095 |
+| 3.2929        | 0.12  | 80   | 2.7078          | 90.1468  | 38.6819 |
+| 3.2929        | 0.13  | 85   | 2.5575          | 88.8045  | 37.2195 |
+| 3.2929        | 0.13  | 90   | 2.4029          | 88.6865  | 36.6887 |
+| 3.2929        | 0.14  | 95   | 2.2431          | 89.0257  | 35.9986 |
+| 2.4377        | 0.15  | 100  | 2.0809          | 85.2275  | 34.1432 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d9221e177a6fa82606327f5c8ebf3e17f21a34ac9c7c76b972eaf1669d9ac461
+oid sha256:49fc997ca0ca30105fe42990eddc198dc69f2330bd23cebbe576c8f848191d2f
 size 151061672

runs/Dec15_22-51-23_ba5c921098ca/events.out.tfevents.1702680683.ba5c921098ca.14331.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:23ec057e190838e0199c54b81b734f04f70ec0b8245aa913ce2ec634bf7c85a8
+size 13310

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e52abae3db6ac5cea61a30989eba5624b497a71fd0f2a26210876099d351fcbc
+oid sha256:d46ade619e8bed806ef2e0974ab49702022d11ebf4cecd7bdbb7671c47db1b1d
 size 4856