End of training

README.md

@@ -2,41 +2,31 @@
 language:
 - tr
 license: apache-2.0
+base_model: openai/whisper-small
 tags:
 - hf-asr-leaderboard
 - generated_from_trainer
 datasets:
 - mozilla-foundation/common_voice_11_0
-metrics:
-- wer
-base_model: openai/whisper-small
 model-index:
-- name: Whisper Small Tr - Canberk Kandemir
-  results:
-  - task:
-      type: automatic-speech-recognition
-      name: Automatic Speech Recognition
-    dataset:
-      name: Common Voice 11.0
-      type: mozilla-foundation/common_voice_11_0
-      config: tr
-      split: None
-      args: 'config: tr, split: test'
-    metrics:
-    - type: wer
-      value: 43.06339873086104
-      name: Wer
+- name: Whisper Small Tr - CK
+  results: []
 ---
 
 <!-- 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 Small Tr 
+# Whisper Small Tr - CK
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5432
-- Wer: 43.0634
+- eval_loss: 0.5128
+- eval_wer: 44.7692
+- eval_runtime: 2371.4188
+- eval_samples_per_second: 4.277
+- eval_steps_per_second: 0.475
+- epoch: 2.99
+- step: 3000
 
 ## Model description
 
@@ -55,37 +45,21 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 7e-05
-- train_batch_size: 16
-- eval_batch_size: 8
+- learning_rate: 1e-05
+- train_batch_size: 18
+- eval_batch_size: 9
 - seed: 42
 - gradient_accumulation_steps: 2
-- total_train_batch_size: 32
+- total_train_batch_size: 36
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 1000
-- training_steps: 5000
+- lr_scheduler_warmup_steps: 500
+- training_steps: 4000
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.4399        | 0.44  | 500  | 0.6307          | 61.0351 |
-| 0.4322        | 0.89  | 1000 | 0.6820          | 58.6909 |
-| 0.2857        | 1.33  | 1500 | 0.6496          | 54.3867 |
-| 0.2839        | 1.77  | 2000 | 0.6088          | 49.6497 |
-| 0.1467        | 2.21  | 2500 | 0.5813          | 47.3346 |
-| 0.1268        | 2.66  | 3000 | 0.5647          | 46.1315 |
-| 0.0711        | 3.1   | 3500 | 0.5532          | 44.8196 |
-| 0.0658        | 3.54  | 4000 | 0.5444          | 43.4670 |
-| 0.0601        | 3.99  | 4500 | 0.5372          | 43.4146 |
-| 0.0304        | 4.43  | 5000 | 0.5432          | 43.0634 |
-
-
 ### Framework versions
 
-- Transformers 4.37.2
+- Transformers 4.38.2
 - Pytorch 2.1.0+cu121
-- Datasets 2.17.0
+- Datasets 2.17.1
 - Tokenizers 0.15.2

generation_config.json

@@ -144,6 +144,7 @@
     "<|yo|>": 50325,
     "<|zh|>": 50260
   },
+  "language": "<|tr|>",
   "max_initial_timestamp_index": 50,
   "max_length": 448,
   "no_timestamps_token_id": 50363,
@@ -240,9 +241,10 @@
     50361,
     50362
   ],
+  "task": "transcribe",
   "task_to_id": {
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.37.2"
+  "transformers_version": "4.38.2"
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e08dc91232c35ead15815381bd2444bce156cc02a3ed5d9e4a4f64f28571f0aa
+oid sha256:aecc1eeb4ab8d17ec95542ccafa36fb70f6e5f4115c2ff74e43749a1c4657746
 size 151061672

runs/Mar01_06-55-37_b1a84b09baef/events.out.tfevents.1709276146.b1a84b09baef.61975.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d85d3d36cf3da50dc30599bf72d73a39b85feb857fb9c07e118494fe58472eda
-size 32598
+oid sha256:ba9600fd71ef0685c19499103a69005f37605d2e6c864d6fecb4b066dd931317
+size 36818