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Model: KasuleTrevor/cdli-whisper-ml-eng-lug-full-a40-5e-5
Source: Original Platform

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.bz2 filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+library_name: transformers
+license: mit
+base_model: Sunbird/asr-whisper-large-v3-salt
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: cdli-whisper-ml-eng-lug-full-a40-5e-5
+  results: []
+datasets:
+- cdli/ugandan_luganda_nonstandard_speech_v1.0
+- cdli/ugandan_english_nonstandard_speech_v1.0
+---
+
+<!-- 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. -->
+
+# cdli-whisper-ml-eng-lug-full-a40-5e-5
+
+This is a multilingual model and is a fine-tuned version of [Sunbird/asr-whisper-large-v3-salt](https://huggingface.co/Sunbird/asr-whisper-large-v3-salt) on the Ugandan CDLI Atypical speech datasets.
+It achieves the following results on the evaluation set:
+- Loss: 1.2283
+- Wer: 0.4137
+- Cer: 0.2271
+
+On the test set with repetition penalty of 1.3 and no_repeat_ngram_size of 2 it obtains:
+- test_cer                =     0.1268
+- test_loss               =     0.8137
+- test_runtime            = 0:22:24.23
+- test_samples_per_second =      1.518
+- test_steps_per_second   =      0.379
+- test_wer                =     0.2851
+
+# English
+
+- Overall WER (normalized): 0.224
+- Overall CER (normalized): 0.135
+- Avg WER (normalized): 0.214
+- Avg CER (normalized): 0.133
+
+
+# Luganda
+
+- Overall WER (normalized): 0.414
+- Overall CER (normalized): 0.146
+- Avg WER (normalized): 0.354
+- Avg CER (normalized): 0.12
+
+## Model description
+
+The training was resumed from epoch 7.2255 and the Wer reported after that is a bit dirty (CER instead of WER)
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 150
+- training_steps: 4000
+
+### Training results
+
+| Training Loss | Epoch   | Step | Cer    | Validation Loss | Wer    |
+|:-------------:|:-------:|:----:|:------:|:---------------:|:------:|
+| 0.6253        | 0.7228  | 250  | 0.2722 | 0.8156          | 0.4660 |
+| 0.4188        | 1.4452  | 500  | 0.2362 | 0.8119          | 0.4247 |
+| 0.2709        | 2.1677  | 750  | 0.2352 | 0.8229          | 0.4206 |
+| 0.2571        | 2.8905  | 1000 | 0.2261 | 0.8141          | 0.4153 |
+| 0.1581        | 3.6129  | 1250 | 0.2292 | 0.9097          | 0.4167 |
+| 0.083         | 4.3354  | 1500 | 0.2271 | 0.9749          | 0.4177 |
+| 0.0593        | 5.0578  | 1750 | 0.2266 | 1.0613          | 0.4107 |
+| 0.0518        | 5.7806  | 2000 | 0.2235 | 1.0547          | 0.4108 |
+| 0.0382        | 6.5031  | 2250 | 0.2249 | 1.1098          | 0.4095 |
+| 0.0356        | 7.2255  | 2500 | 0.2238 | 1.1149          | 0.4087 |
+| 0.0408        | 7.9483  | 2750 | 1.1168 | 0.4139          | 0.2261 |
+| 0.0368        | 8.6737  | 3000 | 1.1499 | 0.4172          | 0.2279 |
+| 0.0271        | 9.3961  | 3250 | 1.2052 | 0.4132          | 0.2271 |
+| 0.0237        | 10.1185 | 3500 | 1.2107 | 0.4114          | 0.2263 |
+| 0.0212        | 10.8413 | 3750 | 1.2275 | 0.4111          | 0.2250 |
+| 0.0221        | 11.5638 | 4000 | 1.2283 | 0.4137          | 0.2271 |
+
+
+### Framework versions
+
+- Transformers 4.52.0
+- Pytorch 2.7.1+cu118
+- Datasets 3.6.0
+- Tokenizers 0.21.4

all_results.json

@@ -0,0 +1,14 @@
+{
+    "epoch": 11.563787495482472,
+    "test_cer": 0.12683188844935386,
+    "test_loss": 0.8137470483779907,
+    "test_runtime": 1344.2304,
+    "test_samples_per_second": 1.518,
+    "test_steps_per_second": 0.379,
+    "test_wer": 0.28512065990166696,
+    "total_flos": 4.347268958158848e+20,
+    "train_loss": 0.010958212658762932,
+    "train_runtime": 14886.6676,
+    "train_samples_per_second": 8.598,
+    "train_steps_per_second": 0.269
+}

config.json

@@ -0,0 +1,47 @@
+{
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "apply_spec_augment": true,
+  "architectures": [
+    "WhisperForConditionalGeneration"
+  ],
+  "attention_dropout": 0.0,
+  "begin_suppress_tokens": null,
+  "bos_token_id": 50257,
+  "classifier_proj_size": 256,
+  "d_model": 1280,
+  "decoder_attention_heads": 20,
+  "decoder_ffn_dim": 5120,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 32,
+  "decoder_start_token_id": 50258,
+  "dropout": 0.0,
+  "encoder_attention_heads": 20,
+  "encoder_ffn_dim": 5120,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 32,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": null,
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 2,
+  "mask_feature_prob": 0.05,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.05,
+  "max_length": null,
+  "max_source_positions": 1500,
+  "max_target_positions": 448,
+  "median_filter_width": 7,
+  "model_type": "whisper",
+  "num_hidden_layers": 32,
+  "num_mel_bins": 128,
+  "pad_token_id": 50256,
+  "scale_embedding": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.52.0",
+  "use_cache": false,
+  "use_weighted_layer_sum": false,
+  "vocab_size": 51866
+}

eval_metrics.json

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+{
+  "trainer_test": {
+    "test_loss": 0.8137470483779907,
+    "test_wer": 0.28512065990166696,
+    "test_cer": 0.12683188844935386,
+    "test_runtime": 1344.2304,
+    "test_samples_per_second": 1.518,
+    "test_steps_per_second": 0.379,
+    "epoch": 11.563787495482472
+  },
+  "trainer_test_utterance_avg": {
+    "wer": 0.28512065990166696,
+    "cer": 0.12683188844935386,
+    "loss": 0.8137470483779907
+  },
+  "reference_style_overall": {
+    "wer": 0.3410804796637409,
+    "cer": 0.16023962034179612,
+    "utterance_avg_wer": 0.3189475550725116,
+    "utterance_avg_cer": 0.13851965646586686
+  },
+  "reference_style_overall_corpus": {
+    "wer": 0.3410804796637409,
+    "cer": 0.16023962034179612
+  },
+  "reference_style_overall_utterance_avg": {
+    "wer": 0.3189475550725116,
+    "cer": 0.13851965646586686
+  },
+  "reference_style_per_language": [
+    {
+      "language": "eng",
+      "n": 1013,
+      "wer": 0.24436512392716772,
+      "cer": 0.14721321419406014,
+      "utterance_avg_wer": 0.22532790099687414,
+      "utterance_avg_cer": 0.13886085242721155
+    },
+    {
+      "language": "lug",
+      "n": 1027,
+      "wer": 0.4965508348913674,
+      "cer": 0.17653755217607053,
+      "utterance_avg_wer": 0.4112909918579261,
+      "utterance_avg_cer": 0.13818311166660482
+    }
+  ],
+  "reference_style_per_severity_lug": [
+    {
+      "severity_speech_impairment": "Mild (easily understood with minimal effort)",
+      "n": 365,
+      "wer": 0.4485981308411215,
+      "cer": 0.15233985165205663,
+      "utterance_avg_wer": 0.3566426067511471,
+      "utterance_avg_cer": 0.11296899355913631
+    },
+    {
+      "severity_speech_impairment": "Moderate (requires effort to understand)",
+      "n": 347,
+      "wer": 0.45241608262633715,
+      "cer": 0.1289565287784344,
+      "utterance_avg_wer": 0.4098227847004097,
+      "utterance_avg_cer": 0.11154220353941666
+    },
+    {
+      "severity_speech_impairment": "Severe (frequent breakdowns)",
+      "n": 315,
+      "wer": 0.6083977900552486,
+      "cer": 0.2694201026428796,
+      "utterance_avg_wer": 0.47623108216787063,
+      "utterance_avg_cer": 0.19674675683917717
+    }
+  ],
+  "old_luganda_test": {
+    "n": 1028,
+    "wer": 0.6278914293354727,
+    "cer": 0.21834629171755687,
+    "utterance_avg_wer": 0.5785237813292773,
+    "utterance_avg_cer": 0.18847034300324522,
+    "note": "Uncleaned HF Luganda test split with the same <=30s and high-confidence filters."
+  },
+  "decode_kwargs": {
+    "max_length": 448,
+    "num_beams": 1,
+    "do_sample": false,
+    "repetition_penalty": 1.3,
+    "no_repeat_ngram_size": 2
+  }
+}

experiment_summary.json

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+{
+  "experiment_id": "ML-ENG-LUG-FULL-A40-5e-5",
+  "base_model": "Sunbird/asr-whisper-large-v3-salt",
+  "languages": [
+    "lug",
+    "eng"
+  ],
+  "training_method": "full",
+  "lora_r": 16,
+  "lora_alpha": 32,
+  "lora_dropout": 0.15,
+  "learning_rate": 5e-05,
+  "optimizer": "adamw_torch_fused",
+  "effective_batch_size": 32,
+  "train_metrics": {
+    "train_runtime": 14886.6676,
+    "train_samples_per_second": 8.598,
+    "train_steps_per_second": 0.269,
+    "total_flos": 4.347268958158848e+20,
+    "train_loss": 0.010958212658762932,
+    "epoch": 11.563787495482472
+  },
+  "test_metrics": {
+    "test_loss": 0.8137470483779907,
+    "test_wer": 0.28512065990166696,
+    "test_cer": 0.12683188844935386,
+    "test_runtime": 1344.2304,
+    "test_samples_per_second": 1.518,
+    "test_steps_per_second": 0.379,
+    "epoch": 11.563787495482472
+  },
+  "trainer_test_utterance_avg_metrics": {
+    "wer": 0.28512065990166696,
+    "cer": 0.12683188844935386
+  },
+  "final_corpus_metrics": {
+    "wer": 0.3410804796637409,
+    "cer": 0.16023962034179612
+  },
+  "final_utterance_avg_metrics": {
+    "wer": 0.3189475550725116,
+    "cer": 0.13851965646586686
+  },
+  "resume_from_checkpoint": "results/finetuned/ML-ENG-LUG-FULL-A40-5e-5/checkpoint-2500",
+  "hub_repo_id": "KasuleTrevor/cdli-whisper-ml-eng-lug-full-a40-5e-5"
+}

generation_config.json

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+{
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+      0
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+    [
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+      17
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+    50257
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+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
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+  "task_to_id": {
+    "transcribe": 50360,
+    "translate": 50359
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+  "transformers_version": "4.52.0"
+}

last-checkpoint/config.json

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+{
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "apply_spec_augment": true,
+  "architectures": [
+    "WhisperForConditionalGeneration"
+  ],
+  "attention_dropout": 0.0,
+  "begin_suppress_tokens": null,
+  "bos_token_id": 50257,
+  "classifier_proj_size": 256,
+  "d_model": 1280,
+  "decoder_attention_heads": 20,
+  "decoder_ffn_dim": 5120,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 32,
+  "decoder_start_token_id": 50258,
+  "dropout": 0.0,
+  "encoder_attention_heads": 20,
+  "encoder_ffn_dim": 5120,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 32,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": null,
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 2,
+  "mask_feature_prob": 0.05,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.05,
+  "max_length": null,
+  "max_source_positions": 1500,
+  "max_target_positions": 448,
+  "median_filter_width": 7,
+  "model_type": "whisper",
+  "num_hidden_layers": 32,
+  "num_mel_bins": 128,
+  "pad_token_id": 50256,
+  "scale_embedding": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.52.0",
+  "use_cache": false,
+  "use_weighted_layer_sum": false,
+  "vocab_size": 51866
+}

last-checkpoint/generation_config.json

@@ -0,0 +1,168 @@
+{
+  "alignment_heads": [
+    [
+      7,
+      0
+    ],
+    [
+      10,
+      17
+    ],
+    [
+      12,
+      18
+    ],
+    [
+      13,
+      12
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+    [
+      16,
+      1
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+    [
+      17,
+      14
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+    [
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+      11
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+    [
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+      4
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+    [
+      24,
+      1
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+    [
+      25,
+      6
+    ]
+  ],
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+    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,
+    "<|ar|>": 50272,
+    "<|as|>": 50350,
+    "<|az|>": 50304,
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