End of training

README.md

@@ -0,0 +1,82 @@
+---
+library_name: transformers
+language:
+- hi
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- aihub_adult_baseline
+model-index:
+- name: whisper-small-E50_Yfreq_speed
+  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-small-E50_Yfreq_speed
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the aihub old adult freq speed pause changed dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1846
+- Cer: 4.7580
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- 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: 50
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Cer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 0.2852        | 0.1289 | 100  | 0.2569          | 6.5672 |
+| 0.1641        | 0.2579 | 200  | 0.2279          | 6.2265 |
+| 0.1599        | 0.3868 | 300  | 0.2275          | 6.3440 |
+| 0.1446        | 0.5158 | 400  | 0.2165          | 6.0268 |
+| 0.1147        | 0.6447 | 500  | 0.2075          | 5.9563 |
+| 0.1144        | 0.7737 | 600  | 0.2032          | 5.6861 |
+| 0.115         | 0.9026 | 700  | 0.1992          | 5.6097 |
+| 0.0555        | 1.0309 | 800  | 0.1890          | 5.1163 |
+| 0.0483        | 1.1599 | 900  | 0.1927          | 5.0752 |
+| 0.0473        | 1.2888 | 1000 | 0.1923          | 4.9577 |
+| 0.0418        | 1.4178 | 1100 | 0.1908          | 4.9107 |
+| 0.041         | 1.5467 | 1200 | 0.1871          | 4.8578 |
+| 0.0423        | 1.6757 | 1300 | 0.1866          | 4.9518 |
+| 0.0388        | 1.8046 | 1400 | 0.1849          | 4.7874 |
+| 0.0422        | 1.9336 | 1500 | 0.1846          | 4.7580 |
+
+
+### Framework versions
+
+- Transformers 4.47.0.dev0
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

generation_config.json

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+  "begin_suppress_tokens": [
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+    50257
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+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": [
+    [
+      1,
+      null
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+    [
+      2,
+      50359
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+  ],
+  "is_multilingual": true,
+  "lang_to_id": {
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+  "max_initial_timestamp_index": 50,
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+  "no_timestamps_token_id": 50363,
+  "pad_token_id": 50257,
+  "prev_sot_token_id": 50361,
+  "return_timestamps": false,
+  "suppress_tokens": [],
+  "task_to_id": {
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+    "translate": 50358
+  },
+  "transformers_version": "4.47.0.dev0"
+}

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