Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: openai/whisper-medium
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-dspData-v5
+  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-dspData-v5
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1537
+- Wer: 6.2767
+
+## 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: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 0.0033        | 2.1605 | 350  | 0.1496          | 6.4117 |
+| 0.0002        | 4.3210 | 700  | 0.1537          | 6.2767 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0
+- Datasets 2.21.0
+- Tokenizers 0.19.1

all_results.json

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+    "epoch": 6.172839506172839,
+    "total_flos": 1.62684422258688e+19,
+    "train_loss": 0.024794462969060987,
+    "train_runtime": 4164.7926,
+    "train_samples_per_second": 3.842,
+    "train_steps_per_second": 0.24
+}

generation_config.json

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+  "eos_token_id": 50257,
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+}

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train_results.json

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+{
+    "epoch": 6.172839506172839,
+    "total_flos": 1.62684422258688e+19,
+    "train_loss": 0.024794462969060987,
+    "train_runtime": 4164.7926,
+    "train_samples_per_second": 3.842,
+    "train_steps_per_second": 0.24
+}