End of training

README.md

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+---
+library_name: transformers
+language:
+- multilingual
+license: apache-2.0
+base_model: openai/whisper-tiny.en
+tags:
+- generated_from_trainer
+datasets:
+- arkanalexei/bisix_su_id_reset
+metrics:
+- wer
+model-index:
+- name: 'BisiX: Sundanese Whisper (Reset Params)'
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: SU ID ASR
+      type: arkanalexei/bisix_su_id_reset
+      config: su_id_asr_source
+      split: validation
+      args: su_id_asr_source
+    metrics:
+    - name: Wer
+      type: wer
+      value: 100.0
+---
+
+<!-- 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. -->
+
+# BisiX: Sundanese Whisper (Reset Params)
+
+This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the SU ID ASR dataset.
+It achieves the following results on the evaluation set:
+- Loss: 10.7367
+- Wer: 100.0
+- Cer: 100.0
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer       | Cer       |
+|:-------------:|:-------:|:----:|:---------------:|:---------:|:---------:|
+| 10.8526       | 1.1765  | 100  | 10.8491         | 100.9708  | 81.1835   |
+| 10.8392       | 2.3529  | 200  | 10.8336         | 1808.6292 | 800.3308  |
+| 10.8194       | 3.5294  | 300  | 10.8165         | 2677.0607 | 1196.5347 |
+| 10.8034       | 4.7059  | 400  | 10.7992         | 207.8742  | 83.6906   |
+| 10.7876       | 5.8824  | 500  | 10.7815         | 148.4494  | 78.2801   |
+| 10.7684       | 7.0588  | 600  | 10.7662         | 110.9303  | 77.7046   |
+| 10.7567       | 8.2353  | 700  | 10.7537         | 93.9326   | 75.0677   |
+| 10.7473       | 9.4118  | 800  | 10.7442         | 100.0     | 100.0     |
+| 10.7389       | 10.5882 | 900  | 10.7386         | 100.0     | 100.0     |
+| 10.7366       | 11.7647 | 1000 | 10.7367         | 100.0     | 100.0     |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.1+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.0

generation_config.json

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+    [
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+    [
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+    ]
+  ],
+  "begin_suppress_tokens": [
+    220,
+    50256
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50257,
+  "eos_token_id": 50256,
+  "forced_decoder_ids": [
+    [
+      1,
+      50362
+    ]
+  ],
+  "is_multilingual": false,
+  "max_initial_timestamp_index": 50,
+  "max_length": 448,
+  "no_timestamps_token_id": 50362,
+  "pad_token_id": 50256,
+  "prev_sot_token_id": 50360,
+  "return_timestamps": false,
+  "suppress_tokens": [
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+  "transformers_version": "4.45.1"
+}