Model save

README.md

@@ -0,0 +1,90 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-tiny-all-audios
+  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-all-audios
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0368
+- Wer: 1.9658
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 25
+- training_steps: 650
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 1.4661        | 0.05  | 25   | 0.5654          | 20.5212 |
+| 0.2642        | 0.1   | 50   | 0.1588          | 8.6859  |
+| 0.1282        | 0.15  | 75   | 0.1102          | 6.3494  |
+| 0.0861        | 0.2   | 100  | 0.0901          | 4.9068  |
+| 0.0652        | 0.25  | 125  | 0.0784          | 4.0738  |
+| 0.0676        | 0.3   | 150  | 0.0695          | 3.4490  |
+| 0.0865        | 0.35  | 175  | 0.0649          | 3.4185  |
+| 0.0454        | 0.4   | 200  | 0.0610          | 3.0477  |
+| 0.0517        | 0.45  | 225  | 0.0567          | 2.9664  |
+| 0.0471        | 0.5   | 250  | 0.0548          | 2.8344  |
+| 0.0394        | 0.55  | 275  | 0.0521          | 2.8648  |
+| 0.0347        | 0.6   | 300  | 0.0488          | 2.4585  |
+| 0.0596        | 0.65  | 325  | 0.0477          | 2.4483  |
+| 0.0426        | 0.7   | 350  | 0.0452          | 2.7836  |
+| 0.0428        | 0.75  | 375  | 0.0436          | 2.2401  |
+| 0.0518        | 0.8   | 400  | 0.0417          | 2.1181  |
+| 0.0379        | 0.85  | 425  | 0.0407          | 2.0928  |
+| 0.0259        | 0.9   | 450  | 0.0399          | 1.9861  |
+| 0.0691        | 0.95  | 475  | 0.0394          | 2.2096  |
+| 0.0382        | 1.0   | 500  | 0.0384          | 2.1131  |
+| 0.0311        | 1.05  | 525  | 0.0377          | 1.9810  |
+| 0.0301        | 1.1   | 550  | 0.0375          | 1.9404  |
+| 0.021         | 1.15  | 575  | 0.0371          | 1.9505  |
+| 0.0205        | 1.2   | 600  | 0.0369          | 1.9404  |
+| 0.0163        | 1.25  | 625  | 0.0369          | 1.9505  |
+| 0.018         | 1.3   | 650  | 0.0368          | 1.9658  |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

generation_config.json

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+  "eos_token_id": 50257,
+  "is_multilingual": true,
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+  "task": "transcribe",
+  "task_to_id": {
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+  },
+  "transformers_version": "4.44.2"
+}

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