Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-base-atco2-asr
+  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-base-atco2-asr
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9060
+- Wer: 49.2883
+
+## 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: 128
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 100
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.9897        | 12.5  | 50   | 0.8748          | 70.4626 |
+| 0.0447        | 25.0  | 100  | 0.8519          | 52.0463 |
+| 0.0087        | 37.5  | 150  | 0.8772          | 39.2794 |
+| 0.0043        | 50.0  | 200  | 0.8891          | 39.3683 |
+| 0.0034        | 62.5  | 250  | 0.8976          | 49.4217 |
+| 0.0027        | 75.0  | 300  | 0.9022          | 49.1548 |
+| 0.0024        | 87.5  | 350  | 0.9050          | 49.2438 |
+| 0.0023        | 100.0 | 400  | 0.9060          | 49.2883 |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.2
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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+}

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