Model save

README.md

@@ -0,0 +1,79 @@
+---
+license: apache-2.0
+base_model: openai/whisper-large-v3
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-large-cit-synth-do0.15-wd0-lr1e-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-do0.15-wd0-lr1e-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: 0.3877
+- Wer: 24.9123
+
+## 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-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: 300
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 1.0947        | 0.3556 | 20   | 0.8311          | 36.7251 |
+| 0.8896        | 0.7111 | 40   | 0.7202          | 34.7368 |
+| 0.8418        | 1.0667 | 60   | 0.6216          | 32.0078 |
+| 0.6567        | 1.4222 | 80   | 0.5254          | 30.7212 |
+| 0.5491        | 1.7778 | 100  | 0.4690          | 27.6803 |
+| 0.5497        | 2.1333 | 120  | 0.4368          | 26.6667 |
+| 0.4875        | 2.4889 | 140  | 0.4211          | 25.7310 |
+| 0.4721        | 2.8444 | 160  | 0.4124          | 25.3801 |
+| 0.46          | 3.2    | 180  | 0.4026          | 25.3801 |
+| 0.4342        | 3.5556 | 200  | 0.3960          | 24.9513 |
+| 0.4248        | 3.9111 | 220  | 0.3945          | 24.8733 |
+| 0.4249        | 4.2667 | 240  | 0.3916          | 24.9123 |
+| 0.4192        | 4.6222 | 260  | 0.3899          | 24.7953 |
+| 0.3823        | 4.9778 | 280  | 0.3884          | 24.6004 |
+| 0.4176        | 5.3333 | 300  | 0.3877          | 24.9123 |
+
+
+### 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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+  "is_multilingual": true,
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+}

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