End of training

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-base.en
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: whisper-base.en-fsc-h
+  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.en-fsc-h
+
+This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0700
+- Accuracy: 0.9863
+
+## 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: 0.0005
+- train_batch_size: 48
+- eval_batch_size: 48
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 192
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 25
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| No log        | 0.9959  | 120  | 0.7203          | 0.7332   |
+| No log        | 2.0     | 241  | 0.3685          | 0.8505   |
+| No log        | 2.9959  | 361  | 0.2024          | 0.9293   |
+| No log        | 4.0     | 482  | 0.1429          | 0.9552   |
+| No log        | 4.9959  | 602  | 0.1143          | 0.9636   |
+| No log        | 6.0     | 723  | 0.1738          | 0.9565   |
+| No log        | 6.9959  | 843  | 0.1295          | 0.9560   |
+| No log        | 8.0     | 964  | 0.1407          | 0.9599   |
+| 0.3435        | 8.9959  | 1084 | 0.1104          | 0.9694   |
+| 0.3435        | 10.0    | 1205 | 0.1054          | 0.9718   |
+| 0.3435        | 10.9959 | 1325 | 0.1042          | 0.9728   |
+| 0.3435        | 12.0    | 1446 | 0.1084          | 0.9710   |
+| 0.3435        | 12.9959 | 1566 | 0.0926          | 0.9789   |
+| 0.3435        | 14.0    | 1687 | 0.1120          | 0.9763   |
+| 0.3435        | 14.9959 | 1807 | 0.0903          | 0.9797   |
+| 0.3435        | 16.0    | 1928 | 0.0957          | 0.9800   |
+| 0.0255        | 16.9959 | 2048 | 0.0851          | 0.9815   |
+| 0.0255        | 18.0    | 2169 | 0.0723          | 0.9844   |
+| 0.0255        | 18.9959 | 2289 | 0.0784          | 0.9834   |
+| 0.0255        | 20.0    | 2410 | 0.0673          | 0.9860   |
+| 0.0255        | 20.9959 | 2530 | 0.0700          | 0.9863   |
+| 0.0255        | 22.0    | 2651 | 0.0707          | 0.9858   |
+| 0.0255        | 22.9959 | 2771 | 0.0712          | 0.9858   |
+| 0.0255        | 24.0    | 2892 | 0.0715          | 0.9858   |
+| 0.0015        | 24.8963 | 3000 | 0.0716          | 0.9858   |
+
+
+### Framework versions
+
+- Transformers 4.43.3
+- Pytorch 2.2.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.19.1

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runs/Oct05_14-49-12_ki-g0010/events.out.tfevents.1728184477.ki-g0010.2231104.1

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