Model save

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-en-ug-ke-sunbird-encoder-a40
+  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. -->
+
+# cdli-whisper-en-ug-ke-sunbird-encoder-a40
+
+This model is a fine-tuned version of [Sunbird/asr-whisper-large-v3-salt](https://huggingface.co/Sunbird/asr-whisper-large-v3-salt) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8885
+- Wer: 0.2945
+- Cer: 0.2021
+
+## Model description
+
+More information needed
+
+## 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: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- 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: 2500
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    | Cer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|:------:|
+| 0.8367        | 0.4248 | 250  | 0.9348          | 0.3188 | 0.2204 |
+| 0.7745        | 0.8496 | 500  | 0.9045          | 0.3089 | 0.2130 |
+| 0.6983        | 1.2736 | 750  | 0.9017          | 0.3057 | 0.2104 |
+| 0.6503        | 1.6984 | 1000 | 0.8888          | 0.2970 | 0.2038 |
+| 0.6562        | 2.1223 | 1250 | 0.8883          | 0.3022 | 0.2087 |
+| 0.6649        | 2.5472 | 1500 | 0.8885          | 0.2978 | 0.2055 |
+| 0.7165        | 2.9720 | 1750 | 0.8887          | 0.2976 | 0.2051 |
+| 0.6558        | 3.3959 | 2000 | 0.8885          | 0.2958 | 0.2031 |
+| 0.691         | 3.8207 | 2250 | 0.8895          | 0.2948 | 0.2019 |
+| 0.5922        | 4.2447 | 2500 | 0.8885          | 0.2945 | 0.2021 |
+
+
+### Framework versions
+
+- Transformers 4.52.0
+- Pytorch 2.7.1+cu118
+- Datasets 3.6.0
+- Tokenizers 0.21.4

all_results.json

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+{
+    "epoch": 4.2446898895497025,
+    "test_cer": 0.12235489629996543,
+    "test_loss": 0.6973432898521423,
+    "test_runtime": 1416.2805,
+    "test_samples_per_second": 1.369,
+    "test_steps_per_second": 0.342,
+    "test_wer": 0.19770605918566117,
+    "total_flos": 1.3577762232336384e+20,
+    "train_loss": 0.7197706562042236,
+    "train_runtime": 17234.7709,
+    "train_samples_per_second": 2.321,
+    "train_steps_per_second": 0.145
+}

experiment_summary.json

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+{
+  "experiment_id": "EN-UG-KE-SUNBIRD-ENCODER-A40",
+  "base_model": "Sunbird/asr-whisper-large-v3-salt",
+  "datasets": [
+    "cdli/ugandan_english_nonstandard_speech_v1.0",
+    "cdli/kenyan_english_nonstandard_speech_v1.0"
+  ],
+  "countries": [
+    "uganda",
+    "kenya"
+  ],
+  "token_mode": "sunbird",
+  "train_mode": "encoder",
+  "learning_rate": 2e-05,
+  "hub_repo_id": "KasuleTrevor/cdli-whisper-en-ug-ke-sunbird-encoder-a40",
+  "train_metrics": {
+    "train_runtime": 17234.7709,
+    "train_samples_per_second": 2.321,
+    "train_steps_per_second": 0.145,
+    "total_flos": 1.3577762232336384e+20,
+    "train_loss": 0.7197706562042236,
+    "epoch": 4.2446898895497025
+  },
+  "test_metrics": {
+    "test_loss": 0.6973432898521423,
+    "test_wer": 0.19770605918566117,
+    "test_cer": 0.12235489629996543,
+    "test_runtime": 1416.2805,
+    "test_samples_per_second": 1.369,
+    "test_steps_per_second": 0.342,
+    "epoch": 4.2446898895497025
+  }
+}

generation_config.json

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+{
+  "alignment_heads": [
+    [
+      7,
+      0
+    ],
+    [
+      10,
+      17
+    ],
+    [
+      12,
+      18
+    ],
+    [
+      13,
+      12
+    ],
+    [
+      16,
+      1
+    ],
+    [
+      17,
+      14
+    ],
+    [
+      19,
+      11
+    ],
+    [
+      21,
+      4
+    ],
+    [
+      24,
+      1
+    ],
+    [
+      25,
+      6
+    ]
+  ],
+  "begin_suppress_tokens": [
+    220,
+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": [
+    [
+      1,
+      50259
+    ],
+    [
+      2,
+      50360
+    ],
+    [
+      3,
+      50364
+    ]
+  ],
+  "is_multilingual": true,
+  "lang_to_id": {
+    "<|af|>": 50327,
+    "<|am|>": 50334,
+    "<|ar|>": 50272,
+    "<|as|>": 50350,
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+    "<|mr|>": 50320,
+    "<|ms|>": 50282,
+    "<|mt|>": 50343,
+    "<|my|>": 50346,
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+    "<|nl|>": 50271,
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+    "<|no|>": 50288,
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+    "<|yi|>": 50335,
+    "<|yo|>": 50325,
+    "<|yue|>": 50358,
+    "<|zh|>": 50260
+  },
+  "language": null,
+  "max_initial_timestamp_index": 50,
+  "max_length": 448,
+  "no_timestamps_token_id": 50364,
+  "pad_token_id": 50257,
+  "prev_sot_token_id": 50362,
+  "return_timestamps": false,
+  "suppress_tokens": [],
+  "task": null,
+  "task_to_id": {
+    "transcribe": 50360,
+    "translate": 50359
+  },
+  "transformers_version": "4.52.0"
+}

test_results.json

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+{
+    "epoch": 4.2446898895497025,
+    "test_cer": 0.12235489629996543,
+    "test_loss": 0.6973432898521423,
+    "test_runtime": 1416.2805,
+    "test_samples_per_second": 1.369,
+    "test_steps_per_second": 0.342,
+    "test_wer": 0.19770605918566117
+}

train_results.json

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+{
+    "epoch": 4.2446898895497025,
+    "total_flos": 1.3577762232336384e+20,
+    "train_loss": 0.7197706562042236,
+    "train_runtime": 17234.7709,
+    "train_samples_per_second": 2.321,
+    "train_steps_per_second": 0.145
+}