End of training

README.md

@@ -0,0 +1,79 @@
+---
+language:
+- en
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- mShiry/ATC_combined
+metrics:
+- wer
+model-index:
+- name: Whisper Small ATC - ATCText
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: ATC
+      type: mShiry/ATC_combined
+      args: 'split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 10.612930650580948
+---
+
+<!-- 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 ATC - ATCText
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the ATC dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2486
+- Wer: 10.6129
+
+## 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
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 4000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.2533        | 0.42  | 1000 | 0.3465          | 16.2868 |
+| 0.235         | 0.84  | 2000 | 0.2881          | 13.5237 |
+| 0.0851        | 1.27  | 3000 | 0.2607          | 10.6048 |
+| 0.1317        | 1.69  | 4000 | 0.2486          | 10.6129 |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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+  "transformers_version": "4.39.3"
+}

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