cv15

README.md

@@ -1,59 +1,24 @@
 ---
-language:
-- ckb
-- ku
 license: apache-2.0
+base_model: openai/whisper-small
 tags:
-- whisper-event
 - generated_from_trainer
-datasets:
-- mozilla-foundation/common_voice_11_0
-- google/fleurs
 metrics:
 - wer
-- cer
-base_model: openai/whisper-small
 model-index:
-- name: Whisper Small Ckb - Razhan Hameed
-  results:
-  - task:
-      type: automatic-speech-recognition
-      name: Automatic Speech Recognition
-    dataset:
-      name: Common Voice 11.0
-      type: mozilla-foundation/common_voice_11_0
-      config: ckb
-      split: test
-    metrics:
-    - type: wer
-      value: 33.2192952446117
-      name: Wer
-  - task:
-      type: automatic-speech-recognition
-      name: Automatic Speech Recognition
-    dataset:
-      name: razhan/asosoft-speech
-      type: razhan/asosoft-speech
-      config: ckb
-      split: test
-    metrics:
-    - type: wer
-      value: 31.94
-      name: WER
-    - type: cer
-      value: 5.65
-      name: CER
+- name: whisper-small-sorani
+  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 Ckb - Razhan Hameed
+# whisper-small-sorani
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3825
-- Wer: 33.2193
+- Loss: 0.0334
+- Wer: 0.0613
 
 ## Model description
 
@@ -73,36 +38,29 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 64
+- train_batch_size: 56
 - eval_batch_size: 32
 - seed: 42
+- distributed_type: multi-GPU
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 12000
-- mixed_precision_training: Native AMP
+- training_steps: 5000
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Wer     |
-|:-------------:|:-----:|:-----:|:---------------:|:-------:|
-| 0.1693        | 2.49  | 1000  | 0.2060          | 39.1265 |
-| 0.0722        | 4.98  | 2000  | 0.2124          | 36.3173 |
-| 0.0127        | 7.46  | 3000  | 0.2736          | 36.5568 |
-| 0.008         | 9.95  | 4000  | 0.3131          | 35.7015 |
-| 0.0032        | 12.44 | 5000  | 0.3434          | 35.3936 |
-| 0.0028        | 14.93 | 6000  | 0.3453          | 35.9258 |
-| 0.003         | 17.41 | 7000  | 0.3558          | 34.9565 |
-| 0.0022        | 19.9  | 8000  | 0.3593          | 34.2722 |
-| 0.0016        | 22.39 | 9000  | 0.3639          | 34.3369 |
-| 0.0015        | 24.88 | 10000 | 0.3785          | 34.0062 |
-| 0.0009        | 27.36 | 11000 | 0.3915          | 34.2951 |
-| 0.0001        | 29.85 | 12000 | 0.3825          | 33.2193 |
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.1005        | 0.55  | 1000 | 0.1405          | 0.2743 |
+| 0.0711        | 1.09  | 2000 | 0.0858          | 0.1772 |
+| 0.0609        | 1.64  | 3000 | 0.0585          | 0.1151 |
+| 0.02          | 2.19  | 4000 | 0.0408          | 0.0789 |
+| 0.0169        | 2.74  | 5000 | 0.0334          | 0.0613 |
 
 
 ### Framework versions
 
-- Transformers 4.26.0.dev0
-- Pytorch 1.13.0+cu117
-- Datasets 2.7.1.dev0
-- Tokenizers 0.13.2
+- Transformers 4.34.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.14.0

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   "<|af|>": 50327,
   "<|am|>": 50334,
   "<|ar|>": 50272,
@@ -17,7 +1518,6 @@
   "<|da|>": 50285,
   "<|de|>": 50261,
   "<|el|>": 50281,
-  "<|endoftext|>": 50257,
   "<|en|>": 50259,
   "<|es|>": 50262,
   "<|et|>": 50307,
@@ -30,6 +1530,7 @@
   "<|gu|>": 50333,
   "<|haw|>": 50352,
   "<|ha|>": 50354,
+  "<|he|>": 50279,
   "<|hi|>": 50276,
   "<|hr|>": 50291,
   "<|ht|>": 50339,
@@ -38,7 +1539,6 @@
   "<|id|>": 50275,
   "<|is|>": 50311,
   "<|it|>": 50274,
-  "<|iw|>": 50279,
   "<|ja|>": 50266,
   "<|jw|>": 50356,
   "<|ka|>": 50329,

config.json

@@ -2,6 +2,7 @@
   "_name_or_path": "openai/whisper-small",
   "activation_dropout": 0.0,
   "activation_function": "gelu",
+  "apply_spec_augment": false,
   "architectures": [
     "WhisperForConditionalGeneration"
   ],
@@ -11,6 +12,7 @@
     50257
   ],
   "bos_token_id": 50257,
+  "classifier_proj_size": 256,
   "d_model": 768,
   "decoder_attention_heads": 12,
   "decoder_ffn_dim": 3072,
@@ -26,17 +28,24 @@
   "forced_decoder_ids": null,
   "init_std": 0.02,
   "is_encoder_decoder": true,
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.05,
   "max_length": 448,
   "max_source_positions": 1500,
   "max_target_positions": 448,
+  "median_filter_width": 7,
   "model_type": "whisper",
   "num_hidden_layers": 12,
   "num_mel_bins": 80,
   "pad_token_id": 50257,
   "scale_embedding": false,
-  "suppress_tokens": [],
-  "torch_dtype": "float32",
-  "transformers_version": "4.26.0.dev0",
-  "use_cache": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.34.0.dev0",
+  "use_cache": true,
+  "use_weighted_layer_sum": false,
   "vocab_size": 51865
 }

generation_config.json

@@ -0,0 +1,263 @@
+{
+  "alignment_heads": [
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+      5,
+      3
+    ],
+    [
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+      9
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+    50257
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+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": [
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+    [
+      2,
+      50359
+    ]
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+  "is_multilingual": true,
+  "lang_to_id": {
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+    "<|am|>": 50334,
+    "<|ar|>": 50272,
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+    "<|yi|>": 50335,
+    "<|yo|>": 50325,
+    "<|zh|>": 50260
+  },
+  "max_initial_timestamp_index": 1,
+  "max_length": 448,
+  "no_timestamps_token_id": 50363,
+  "pad_token_id": 50257,
+  "return_timestamps": false,
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+  "task_to_id": {
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+    "translate": 50358
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+  "transformers_version": "4.34.0.dev0"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 966995080
+oid sha256:4f96222a56f442cd3229d9814a69e2baa31ca1cd3c4a43061174b47a837e45e0
+size 563189936

special_tokens_map.json

@@ -22,7 +22,7 @@
     "<|hi|>",
     "<|fi|>",
     "<|vi|>",
-    "<|iw|>",
+    "<|he|>",
     "<|uk|>",
     "<|el|>",
     "<|ms|>",
@@ -108,26 +108,8 @@
     "<|nocaptions|>",
     "<|notimestamps|>"
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-  "bos_token": {
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  },
-  "eos_token": {
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  },
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
   "pad_token": "<|endoftext|>",
-  "unk_token": {
-    "content": "",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  }
+  "unk_token": "<|endoftext|>"
 }

training_args.bin

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-size 3579
+oid sha256:fb4baa01f2e0042e7394c6cef75ad2bc45fd5e41a3938a9914128cc3146395b4
+size 5819