End of training

README.md

@@ -7,9 +7,22 @@ tags:
 - generated_from_trainer
 datasets:
 - konnakol
+metrics:
+- wer
 model-index:
 - name: Whisper Hi - Gopika
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Konnakol
+      type: konnakol
+      args: 'config: hi, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.026845637583892617
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -19,18 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Konnakol dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.1745
-- eval_wer_sentence: 0.0253
-- eval_cer_sentence: 0.0241
-- eval_wer_word: 0.0445
-- eval_cer_word: 0.0223
-- eval_wer_char: 0.0559
-- eval_cer_char: 0.0347
-- eval_runtime: 16.8315
-- eval_samples_per_second: 2.733
-- eval_steps_per_second: 0.178
-- epoch: 8.3333
-- step: 50
+- Loss: 0.2424
+- Wer: 0.0268
+- Cer: 0.0281
 
 ## Model description
 
@@ -59,6 +63,32 @@ The following hyperparameters were used during training:
 - training_steps: 1000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch    | Step | Validation Loss | Wer    | Cer    |
+|:-------------:|:--------:|:----:|:---------------:|:------:|:------:|
+| 2.6928        | 8.3333   | 50   | 0.7108          | 0.0593 | 0.0502 |
+| 0.1456        | 16.6667  | 100  | 0.1978          | 0.0503 | 0.0448 |
+| 0.0104        | 25.0     | 150  | 0.1970          | 0.0291 | 0.0293 |
+| 0.0145        | 33.3333  | 200  | 0.2114          | 0.0503 | 0.0387 |
+| 0.0123        | 41.6667  | 250  | 0.2174          | 0.0515 | 0.0511 |
+| 0.0086        | 50.0     | 300  | 0.2339          | 0.0246 | 0.0263 |
+| 0.0077        | 58.3333  | 350  | 0.2737          | 0.0336 | 0.0303 |
+| 0.0132        | 66.6667  | 400  | 0.1764          | 0.0268 | 0.0269 |
+| 0.005         | 75.0     | 450  | 0.2107          | 0.0336 | 0.0339 |
+| 0.0207        | 83.3333  | 500  | 0.2167          | 0.4955 | 0.4702 |
+| 0.0153        | 91.6667  | 550  | 0.1948          | 0.0358 | 0.0342 |
+| 0.013         | 100.0    | 600  | 0.1882          | 0.0257 | 0.0230 |
+| 0.001         | 108.3333 | 650  | 0.2405          | 0.0302 | 0.0324 |
+| 0.0018        | 116.6667 | 700  | 0.2377          | 0.0302 | 0.0290 |
+| 0.0           | 125.0    | 750  | 0.2385          | 0.0268 | 0.0281 |
+| 0.0           | 133.3333 | 800  | 0.2398          | 0.0268 | 0.0281 |
+| 0.0           | 141.6667 | 850  | 0.2409          | 0.0268 | 0.0281 |
+| 0.0           | 150.0    | 900  | 0.2418          | 0.0268 | 0.0281 |
+| 0.0           | 158.3333 | 950  | 0.2422          | 0.0268 | 0.0281 |
+| 0.0           | 166.6667 | 1000 | 0.2424          | 0.0268 | 0.0281 |
+
+
 ### Framework versions
 
 - Transformers 4.41.1

generation_config.json

@@ -230,6 +230,7 @@
     50361,
     50362
   ],
+  "task": "transcribe",
   "task_to_id": {
     "transcribe": 50359,
     "translate": 50358

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:427f91ae2bab3e65af552fb1eec3e4a1f8f2bddfe1078fa70f3798ba435e56af
+oid sha256:3016915f035cf5bab68eb86b3ad6e19fbc75a88ee364e52dc6d6e2a15e96791e
 size 3055544304