End of training

README.md

@@ -0,0 +1,84 @@
+---
+library_name: transformers
+language:
+- zh
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+datasets:
+- formospeech/tat_asr_aligned
+model-index:
+- name: Whisper Tiny Taiwanese (exp_cc_0.5_embed)
+  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 Tiny Taiwanese (exp_cc_0.5_embed)
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the TAT ASR Aligned dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3468
+- Cer: 40.8566
+
+## 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: 64
+- eval_batch_size: 32
+- 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: 1362
+- training_steps: 13620
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step  | Validation Loss | Cer     |
+|:-------------:|:-------:|:-----:|:---------------:|:-------:|
+| 0.4029        | 0.9985  | 681   | 1.0622          | 40.3475 |
+| 0.3838        | 1.9971  | 1362  | 1.2521          | 45.3507 |
+| 0.2719        | 2.9956  | 2043  | 1.2355          | 44.4585 |
+| 0.1927        | 3.9941  | 2724  | 1.2278          | 44.0645 |
+| 0.1391        | 4.9927  | 3405  | 1.2620          | 44.1542 |
+| 0.0996        | 5.9912  | 4086  | 1.3637          | 43.2260 |
+| 0.0691        | 6.9897  | 4767  | 1.4641          | 44.2366 |
+| 0.053         | 7.9883  | 5448  | 1.4679          | 43.7573 |
+| 0.0401        | 8.9868  | 6129  | 1.5647          | 42.3763 |
+| 0.0331        | 9.9853  | 6810  | 1.6093          | 42.9464 |
+| 0.0243        | 10.9839 | 7491  | 1.6949          | 43.3876 |
+| 0.0186        | 11.9824 | 8172  | 1.7528          | 42.7885 |
+| 0.0134        | 12.9809 | 8853  | 1.8851          | 43.8099 |
+| 0.0093        | 13.9795 | 9534  | 1.9080          | 42.4202 |
+| 0.0069        | 14.9780 | 10215 | 1.9732          | 42.1247 |
+| 0.0039        | 15.9765 | 10896 | 2.1342          | 41.9910 |
+| 0.0018        | 16.9751 | 11577 | 2.1268          | 42.0237 |
+| 0.0005        | 17.9736 | 12258 | 2.2460          | 40.5185 |
+| 0.0002        | 18.9721 | 12939 | 2.3131          | 40.9274 |
+| 0.0001        | 19.9707 | 13620 | 2.3468          | 40.8566 |
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.0.0.post304
+- Datasets 3.3.2
+- Tokenizers 0.21.0

generation_config.json

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+      2
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+    [
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+    [
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+    [
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+  ],
+  "begin_suppress_tokens": [
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+    50257
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+  "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,
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+  "max_initial_timestamp_index": 50,
+  "max_length": 448,
+  "no_timestamps_token_id": 50363,
+  "pad_token_id": 50257,
+  "prev_sot_token_id": 50361,
+  "return_timestamps": false,
+  "suppress_tokens": [],
+  "task_to_id": {
+    "transcribe": 50359,
+    "translate": 50358
+  },
+  "transformers_version": "4.49.0"
+}

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