End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-base-akan
+  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-base-akan
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1058
+- Wer: 41.1088
+
+## 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: 0.0001
+- train_batch_size: 32
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 2000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 1.8723        | 10.0  | 250  | 1.0427          | 68.4371 |
+| 0.3084        | 20.0  | 500  | 0.7759          | 44.8196 |
+| 0.0708        | 30.0  | 750  | 0.9140          | 42.7532 |
+| 0.027         | 40.0  | 1000 | 1.0043          | 42.5058 |
+| 0.0109        | 50.0  | 1250 | 1.0740          | 42.1711 |
+| 0.0046        | 60.0  | 1500 | 1.0846          | 40.9488 |
+| 0.0032        | 70.0  | 1750 | 1.1017          | 41.3708 |
+| 0.0022        | 80.0  | 2000 | 1.1058          | 41.1088 |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.0

generation_config.json

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+    [
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+    [
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+    [
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+    [
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+  "begin_suppress_tokens": [
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+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "dropout": 0.1,
+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
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+  "task": "transcribe",
+  "task_to_id": {
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+    "translate": 50358
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+  "transformers_version": "4.45.1"
+}