Model save

README.md

@@ -0,0 +1,98 @@
+---
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- audiofolder
+metrics:
+- wer
+model-index:
+- name: whisper-small-ft-client
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: audiofolder
+      type: audiofolder
+      config: default
+      split: None
+      args: default
+    metrics:
+    - name: Wer
+      type: wer
+      value: 84.11458333333334
+---
+
+<!-- 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-small-ft-client
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the audiofolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5990
+- Wer: 84.1146
+
+## 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: 2
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- 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: 500
+- training_steps: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.8044        | 6.37   | 200  | 1.2417          | 69.9219 |
+| 0.036         | 12.75  | 400  | 1.1791          | 60.9375 |
+| 0.0108        | 19.12  | 600  | 1.3128          | 80.2083 |
+| 0.0035        | 25.5   | 800  | 1.3641          | 62.6953 |
+| 0.0009        | 31.87  | 1000 | 1.4066          | 66.6016 |
+| 0.0004        | 38.25  | 1200 | 1.4410          | 64.5833 |
+| 0.0003        | 44.62  | 1400 | 1.4712          | 63.3464 |
+| 0.0002        | 51.0   | 1600 | 1.4927          | 63.6068 |
+| 0.0002        | 57.37  | 1800 | 1.5102          | 67.1875 |
+| 0.0002        | 63.75  | 2000 | 1.5254          | 66.6016 |
+| 0.0001        | 70.12  | 2200 | 1.5393          | 77.8646 |
+| 0.0001        | 76.49  | 2400 | 1.5512          | 77.9297 |
+| 0.0001        | 82.87  | 2600 | 1.5616          | 77.7344 |
+| 0.0001        | 89.24  | 2800 | 1.5710          | 83.1380 |
+| 0.0001        | 95.62  | 3000 | 1.5791          | 88.0859 |
+| 0.0001        | 101.99 | 3200 | 1.5854          | 88.1510 |
+| 0.0001        | 108.37 | 3400 | 1.5910          | 88.0859 |
+| 0.0001        | 114.74 | 3600 | 1.5953          | 84.1146 |
+| 0.0001        | 121.12 | 3800 | 1.5978          | 84.1797 |
+| 0.0001        | 127.49 | 4000 | 1.5990          | 84.1146 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

generation_config.json

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+}

model.safetensors

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