End of training

README.md

@@ -1,39 +1,41 @@
 ---
+language:
+- id
 license: apache-2.0
+base_model: openai/whisper-small
 tags:
 - generated_from_trainer
-base_model: openai/whisper-small
 datasets:
-- common_voice_13_0
+- mozilla-foundation/common_voice_13_0
 metrics:
 - wer
 model-index:
-- name: Compare-XLS-R-to-Whisper-demo-google-colab-Ezra_William_Prod
+- name: Whisper Small Id - Ezra William
   results:
   - task:
-      type: automatic-speech-recognition
       name: Automatic Speech Recognition
+      type: automatic-speech-recognition
     dataset:
-      name: common_voice_13_0
-      type: common_voice_13_0
+      name: Common Voice 13.0
+      type: mozilla-foundation/common_voice_13_0
       config: id
-      split: test
-      args: id
+      split: None
+      args: 'config: id, split: test'
     metrics:
-    - type: wer
-      value: 1.0
-      name: Wer
+    - name: Wer
+      type: wer
+      value: 17.216589861751153
 ---
 
 <!-- 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. -->
 
-# Compare-XLS-R-to-Whisper-demo-google-colab-Ezra_William_Prod
+# Whisper Small Id - Ezra William
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_13_0 dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: nan
-- Wer: 1.0
+- Loss: 0.3271
+- Wer: 17.2166
 
 ## Model description
 
@@ -52,36 +54,29 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-06
+- learning_rate: 1e-05
 - train_batch_size: 16
-- eval_batch_size: 16
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 12
+- lr_scheduler_warmup_steps: 500
+- training_steps: 4000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer |
-|:-------------:|:-----:|:----:|:---------------:|:---:|
-| 0.0           | 1.0   | 278  | nan             | 1.0 |
-| 0.0           | 2.0   | 556  | nan             | 1.0 |
-| 0.0           | 3.0   | 834  | nan             | 1.0 |
-| 0.0           | 4.0   | 1112 | nan             | 1.0 |
-| 0.0           | 5.0   | 1390 | nan             | 1.0 |
-| 0.0           | 6.0   | 1668 | nan             | 1.0 |
-| 0.0           | 7.0   | 1946 | nan             | 1.0 |
-| 0.0           | 8.0   | 2224 | nan             | 1.0 |
-| 0.0           | 9.0   | 2502 | nan             | 1.0 |
-| 0.0           | 10.0  | 2780 | nan             | 1.0 |
-| 0.0           | 11.0  | 3058 | nan             | 1.0 |
-| 0.0           | 12.0  | 3336 | nan             | 1.0 |
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.1836        | 1.9194 | 1000 | 0.2526          | 17.7512 |
+| 0.0409        | 3.8388 | 2000 | 0.2741          | 17.4885 |
+| 0.0046        | 5.7582 | 3000 | 0.3143          | 17.3548 |
+| 0.0022        | 7.6775 | 4000 | 0.3271          | 17.2166 |
 
 
 ### Framework versions
 
 - Transformers 4.41.2
-- Pytorch 2.3.1+cu121
-- Datasets 2.19.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
 - Tokenizers 0.19.1

generation_config.json

@@ -0,0 +1,256 @@
+{
+  "alignment_heads": [
+    [
+      5,
+      3
+    ],
+    [
+      5,
+      9
+    ],
+    [
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+      0
+    ],
+    [
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+      4
+    ],
+    [
+      8,
+      7
+    ],
+    [
+      8,
+      8
+    ],
+    [
+      9,
+      0
+    ],
+    [
+      9,
+      7
+    ],
+    [
+      9,
+      9
+    ],
+    [
+      10,
+      5
+    ]
+  ],
+  "begin_suppress_tokens": [
+    220,
+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
+    "<|af|>": 50327,
+    "<|am|>": 50334,
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+    "<|vi|>": 50278,
+    "<|yi|>": 50335,
+    "<|yo|>": 50325,
+    "<|zh|>": 50260
+  },
+  "language": "indonesian",
+  "max_initial_timestamp_index": 50,
+  "max_length": 448,
+  "no_timestamps_token_id": 50363,
+  "pad_token_id": 50257,
+  "prev_sot_token_id": 50361,
+  "return_timestamps": false,
+  "suppress_tokens": [
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+  "task": "transcribe",
+  "task_to_id": {
+    "transcribe": 50359,
+    "translate": 50358
+  },
+  "transformers_version": "4.41.2"
+}