elmamounedieye/whisper-wol-V5

README.md

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+---
+license: apache-2.0
+base_model: serge-wilson/whisper-small-wolof
+tags:
+- generated_from_trainer
+datasets:
+- audiofolder
+metrics:
+- wer
+model-index:
+- name: ASR
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: audiofolder
+      type: audiofolder
+      config: default
+      split: None
+      args: default
+    metrics:
+    - name: Wer
+      type: wer
+      value: 39.312847261594285
+---
+
+<!-- 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. -->
+
+# ASR
+
+This model is a fine-tuned version of [serge-wilson/whisper-small-wolof](https://huggingface.co/serge-wilson/whisper-small-wolof) on the audiofolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3500
+- Wer: 39.3128
+- Cer: 26.3187
+
+## 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: 0.0005
+- train_batch_size: 8
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-05
+- lr_scheduler_type: polynomial
+- lr_scheduler_warmup_steps: 50
+- training_steps: 1990
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer      | Cer      |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
+| 1.3022        | 1.0   | 208  | 1.2112          | 146.8307 | 105.1707 |
+| 0.8551        | 2.0   | 416  | 0.9020          | 90.5318  | 83.8833  |
+| 0.5754        | 3.0   | 624  | 0.7127          | 118.9704 | 102.1064 |
+| 0.3739        | 4.0   | 832  | 0.5951          | 63.1591  | 45.8295  |
+| 0.2459        | 5.0   | 1040 | 0.4929          | 63.5446  | 50.1286  |
+| 0.1579        | 6.0   | 1248 | 0.4524          | 51.6158  | 35.0170  |
+| 0.0884        | 7.0   | 1456 | 0.4204          | 46.9554  | 30.6374  |
+| 0.0498        | 8.0   | 1664 | 0.3817          | 51.6158  | 33.7194  |
+| 0.0268        | 9.0   | 1872 | 0.3490          | 40.8550  | 27.1844  |
+| 0.012         | 9.57  | 1990 | 0.3500          | 39.3128  | 26.3187  |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "alignment_heads": [
+    [
+      5,
+      3
+    ],
+    [
+      5,
+      9
+    ],
+    [
+      8,
+      0
+    ],
+    [
+      8,
+      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,
+  "forced_decoder_ids": [
+    [
+      1,
+      50359
+    ],
+    [
+      2,
+      50363
+    ]
+  ],
+  "is_multilingual": true,
+  "lang_to_id": {
+    "<|af|>": 50327,
+    "<|am|>": 50334,
+    "<|ar|>": 50272,
+    "<|as|>": 50350,
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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,
+  "suppress_tokens": [],
+  "task_to_id": {
+    "transcribe": 50359,
+    "translate": 50358
+  },
+  "transformers_version": "4.39.3"
+}