End of training

README.md

@@ -7,18 +7,37 @@ base_model: openai/whisper-large-v3-turbo
 tags:
 - generated_from_trainer
 datasets:
-- kiranpantha/OpenSLR54-Balanced-Nepali
+- kiranpantha/OpenSLR54-Whisper
+metrics:
+- wer
 model-index:
-- name: Whisper Medium - Kiran Pantha
-  results: []
+- name: Whisper Large v3 Turbo Nepali - Kiran Pantha
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: OpenSLR54
+      type: kiranpantha/OpenSLR54-Whisper
+      config: default
+      split: test
+      args: 'config: ne, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 23.63425925925926
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# Whisper Medium - Kiran Pantha
+# Whisper Large v3 Turbo Nepali - Kiran Pantha
 
 This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the OpenSLR54 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1707
+- Wer: 23.6343
+- Cer: 5.4903
 
 ## Model description
 
@@ -37,19 +56,41 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 8
+- learning_rate: 1e-05
+- train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- 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_steps: 30
-- num_epochs: 2
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     | Cer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|
+| 0.3073        | 0.3597 | 300  | 0.2895          | 53.2870 | 13.5643 |
+| 0.2457        | 0.7194 | 600  | 0.2396          | 45.3704 | 11.6816 |
+| 0.166         | 1.0791 | 900  | 0.2062          | 37.9167 | 9.6668  |
+| 0.1477        | 1.4388 | 1200 | 0.1949          | 37.4306 | 9.3071  |
+| 0.1284        | 1.7986 | 1500 | 0.1680          | 32.6620 | 8.3235  |
+| 0.0745        | 2.1583 | 1800 | 0.1706          | 31.1574 | 7.5272  |
+| 0.0701        | 2.5180 | 2100 | 0.1661          | 32.0370 | 7.7217  |
+| 0.0777        | 2.8777 | 2400 | 0.1599          | 28.6111 | 7.1308  |
+| 0.0455        | 3.2374 | 2700 | 0.1723          | 28.7037 | 7.0097  |
+| 0.0375        | 3.5971 | 3000 | 0.1579          | 26.9444 | 6.3674  |
+| 0.0374        | 3.9568 | 3300 | 0.1639          | 26.8981 | 6.2794  |
+| 0.0171        | 4.3165 | 3600 | 0.1711          | 25.3241 | 6.2280  |
+| 0.0219        | 4.6763 | 3900 | 0.1638          | 25.0    | 5.9307  |
+| 0.0089        | 5.0360 | 4200 | 0.1635          | 24.5139 | 5.7435  |
+| 0.0072        | 5.3957 | 4500 | 0.1717          | 24.1898 | 5.5711  |
+| 0.0059        | 5.7554 | 4800 | 0.1707          | 23.6343 | 5.4903  |
+
+
 ### Framework versions
 
-- Transformers 4.45.1
-- Pytorch 2.4.0
-- Datasets 3.0.1
-- Tokenizers 0.20.0
+- Transformers 4.46.3
+- Pytorch 2.5.1+cxx11.abi
+- Datasets 3.2.0
+- Tokenizers 0.20.3

generation_config.json

@@ -237,5 +237,5 @@
     "transcribe": 50360,
     "translate": 50359
   },
-  "transformers_version": "4.45.1"
+  "transformers_version": "4.46.3"
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9c76d35e5b54f5b721193b323b96a94e8a9dc5486eaefb76f90796af4a30831f
+oid sha256:da7b0a4676e517d6877ea6183c4caa9fbde3a8f54945ff17ded2be3133b15123
 size 3235581408