Model save

README.md

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----
-license: unknown
----
+---
+license: apache-2.0
+base_model: openai/whisper-tiny.en
+tags:
+- generated_from_trainer
+datasets:
+- tedlium
+metrics:
+- wer
+model-index:
+- name: whisper-tiny-tedlium
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: tedlium
+      type: tedlium
+      config: release1
+      split: test
+      args: release1
+    metrics:
+    - name: Wer
+      type: wer
+      value: 24.245059838575006
+---
+
+<!-- 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-tedlium
+
+This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the tedlium dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2271
+- Wer: 24.2451
+
+## 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: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 200
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| No log        | 0.06  | 20   | 3.5590          | 35.2108 |
+| 3.8059        | 0.13  | 40   | 3.0962          | 34.2645 |
+| 2.6288        | 0.19  | 60   | 2.7592          | 31.2517 |
+| 1.688         | 0.26  | 80   | 2.4428          | 24.8330 |
+| 1.2352        | 0.32  | 100  | 2.3773          | 22.4951 |
+| 1.2352        | 0.38  | 120  | 2.4088          | 21.6219 |
+| 0.9947        | 0.45  | 140  | 2.3161          | 19.5345 |
+| 0.9169        | 0.51  | 160  | 2.2712          | 23.5736 |
+| 0.8418        | 0.58  | 180  | 2.1986          | 23.2918 |
+| 0.8253        | 0.64  | 200  | 2.2271          | 24.2451 |
+
+
+### Framework versions
+
+- Transformers 4.39.2
+- Pytorch 2.2.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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