End of training

README.md

@@ -0,0 +1,85 @@
+---
+library_name: transformers
+language:
+- am
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: ' tiny Amharic - Biniyam Daniel'
+  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. -->
+
+#  tiny Amharic - Biniyam Daniel
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0671
+- Wer: 22.1786
+
+## 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: 3e-05
+- train_batch_size: 96
+- eval_batch_size: 48
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.2949        | 0.0879 | 300  | 0.2728          | 69.7139 |
+| 0.1643        | 0.1758 | 600  | 0.1619          | 48.3076 |
+| 0.135         | 0.2637 | 900  | 0.1303          | 40.1983 |
+| 0.1123        | 0.3516 | 1200 | 0.1142          | 35.9610 |
+| 0.1011        | 0.4395 | 1500 | 0.1052          | 33.3392 |
+| 0.0965        | 0.5274 | 1800 | 0.0971          | 30.9336 |
+| 0.0895        | 0.6153 | 2100 | 0.0921          | 29.5138 |
+| 0.0844        | 0.7032 | 2400 | 0.0867          | 28.1619 |
+| 0.0803        | 0.7911 | 2700 | 0.0829          | 26.9852 |
+| 0.0794        | 0.8790 | 3000 | 0.0800          | 26.1783 |
+| 0.0764        | 0.9669 | 3300 | 0.0771          | 25.3417 |
+| 0.0671        | 1.0548 | 3600 | 0.0752          | 24.3019 |
+| 0.0712        | 1.1427 | 3900 | 0.0736          | 24.0849 |
+| 0.0657        | 1.2306 | 4200 | 0.0722          | 23.6805 |
+| 0.0646        | 1.3185 | 4500 | 0.0710          | 23.4355 |
+| 0.0648        | 1.4064 | 4800 | 0.0699          | 23.1196 |
+| 0.0627        | 1.4943 | 5100 | 0.0689          | 22.7004 |
+| 0.0609        | 1.5822 | 5400 | 0.0683          | 22.5094 |
+| 0.0618        | 1.6701 | 5700 | 0.0678          | 22.2923 |
+| 0.0592        | 1.7580 | 6000 | 0.0675          | 22.2988 |
+| 0.059         | 1.8459 | 6300 | 0.0673          | 22.1880 |
+| 0.059         | 1.9338 | 6600 | 0.0671          | 22.1786 |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.7.1+cu128
+- Datasets 3.6.0
+- Tokenizers 0.20.3

generation_config.json

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+    [
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+      2
+    ],
+    [
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+      0
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+    [
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+      2
+    ],
+    [
+      3,
+      3
+    ],
+    [
+      3,
+      4
+    ],
+    [
+      3,
+      5
+    ]
+  ],
+  "begin_suppress_tokens": [
+    220,
+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
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+  },
+  "language": "amharic",
+  "max_initial_timestamp_index": 50,
+  "max_length": 448,
+  "no_timestamps_token_id": 50363,
+  "pad_token_id": 50257,
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+  "return_timestamps": false,
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+  "task": "transcribe",
+  "task_to_id": {
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+    "translate": 50358
+  },
+  "transformers_version": "4.46.3"
+}

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