Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-large-v3
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-large-cit-synth-do015-wd0-lr5e-06-1000
+  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-large-cit-synth-do015-wd0-lr5e-06-1000
+
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4526
+- Wer: 20.3899
+
+## 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: 5e-06
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.7187        | 0.8889 | 50   | 0.4062          | 24.2105 |
+| 0.4122        | 1.7778 | 100  | 0.3523          | 22.3782 |
+| 0.2917        | 2.6667 | 150  | 0.3494          | 23.5867 |
+| 0.2242        | 3.5556 | 200  | 0.3618          | 23.0019 |
+| 0.1529        | 4.4444 | 250  | 0.3770          | 22.3392 |
+| 0.1322        | 5.3333 | 300  | 0.3906          | 21.2476 |
+| 0.0987        | 6.2222 | 350  | 0.4133          | 20.9747 |
+| 0.0798        | 7.1111 | 400  | 0.4302          | 23.8986 |
+| 0.0613        | 8.0    | 450  | 0.4438          | 20.5848 |
+| 0.0545        | 8.8889 | 500  | 0.4526          | 20.3899 |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 1.13.1+cu117
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+    [
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+    [
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+  ],
+  "begin_suppress_tokens": [
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+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
+    "<|af|>": 50327,
+    "<|am|>": 50334,
+    "<|ar|>": 50272,
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+  "language": "english",
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+  "pad_token_id": 50257,
+  "prev_sot_token_id": 50362,
+  "return_timestamps": false,
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+  "task": "transcribe",
+  "task_to_id": {
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+  },
+  "transformers_version": "4.42.3"
+}

runs/Jul01_14-01-00_whisper-finetune/events.out.tfevents.1719842486.whisper-finetune

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