End of training

README.md

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+---
+library_name: transformers
+language:
+- hy
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- ErikMkrtchyan/Hy-Generated-audio-data-with-cv20.0
+metrics:
+- wer
+model-index:
+- name: Whisper Small Hy - Erik Mkrtchyan
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Hy Generated Audio Data with CV 20.0
+      type: ErikMkrtchyan/Hy-Generated-audio-data-with-cv20.0
+      args: 'split: generated+train, eval_split: eval+test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 26.972026972026974
+---
+
+<!-- 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 Small Hy - Erik Mkrtchyan
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Hy Generated Audio Data with CV 20.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1185
+- Wer: 26.9720
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use adamw_torch 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: 500
+- training_steps: 15000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Wer     |
+|:-------------:|:------:|:-----:|:---------------:|:-------:|
+| 0.1118        | 0.1464 | 1000  | 0.2371          | 48.5991 |
+| 0.0959        | 0.2927 | 2000  | 0.1895          | 41.1675 |
+| 0.0862        | 0.4391 | 3000  | 0.1716          | 38.6837 |
+| 0.0741        | 0.5855 | 4000  | 0.1572          | 35.3540 |
+| 0.0708        | 0.7319 | 5000  | 0.1443          | 33.0242 |
+| 0.0558        | 0.8782 | 6000  | 0.1352          | 31.4380 |
+| 0.0467        | 1.0246 | 7000  | 0.1315          | 30.2390 |
+| 0.0528        | 1.1710 | 8000  | 0.1295          | 29.9233 |
+| 0.0455        | 1.3173 | 9000  | 0.1280          | 29.2490 |
+| 0.0347        | 1.4637 | 10000 | 0.1246          | 28.9718 |
+| 0.049         | 1.6101 | 11000 | 0.1221          | 28.5274 |
+| 0.0419        | 1.7564 | 12000 | 0.1189          | 27.9543 |
+| 0.0371        | 1.9028 | 13000 | 0.1166          | 27.5242 |
+| 0.0286        | 2.0492 | 14000 | 0.1173          | 27.0149 |
+| 0.0301        | 2.1956 | 15000 | 0.1185          | 26.9720 |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.7.0+cu126
+- Datasets 3.6.0
+- Tokenizers 0.21.1

generation_config.json

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+{
+  "alignment_heads": [
+    [
+      5,
+      3
+    ],
+    [
+      5,
+      9
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+    [
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+      0
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+    [
+      8,
+      4
+    ],
+    [
+      8,
+      7
+    ],
+    [
+      8,
+      8
+    ],
+    [
+      9,
+      0
+    ],
+    [
+      9,
+      7
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+    [
+      9,
+      9
+    ],
+    [
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+      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": "armenian",
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+  "max_length": 448,
+  "no_timestamps_token_id": 50363,
+  "pad_token_id": 50257,
+  "prev_sot_token_id": 50361,
+  "return_timestamps": false,
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+  "task": "transcribe",
+  "task_to_id": {
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+    "translate": 50358
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+  "transformers_version": "4.51.3"
+}