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
+  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
+
+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: 3.0278
+- Accuracy: 0.5630
+
+## 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: 5e-05
+- 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: 20
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| No log        | 0.9972  | 263  | 3.7447          | 0.0962   |
+| No log        | 1.9981  | 527  | 2.8087          | 0.3060   |
+| No log        | 2.9991  | 791  | 2.3083          | 0.4062   |
+| 2.9232        | 4.0     | 1055 | 2.0094          | 0.4940   |
+| 2.9232        | 4.9972  | 1318 | 1.9099          | 0.5321   |
+| 2.9232        | 5.9981  | 1582 | 1.9257          | 0.5479   |
+| 2.9232        | 6.9991  | 1846 | 2.0132          | 0.5479   |
+| 0.8199        | 8.0     | 2110 | 2.1486          | 0.5444   |
+| 0.8199        | 8.9972  | 2373 | 2.2976          | 0.5440   |
+| 0.8199        | 9.9981  | 2637 | 2.4131          | 0.5453   |
+| 0.8199        | 10.9991 | 2901 | 2.5031          | 0.5523   |
+| 0.1503        | 12.0    | 3165 | 2.6273          | 0.5544   |
+| 0.1503        | 12.9972 | 3428 | 2.7233          | 0.5581   |
+| 0.1503        | 13.9981 | 3692 | 2.8470          | 0.5498   |
+| 0.1503        | 14.9991 | 3956 | 2.8848          | 0.5589   |
+| 0.0246        | 16.0    | 4220 | 2.9497          | 0.5605   |
+| 0.0246        | 16.9972 | 4483 | 2.9992          | 0.5612   |
+| 0.0246        | 17.9981 | 4747 | 3.0278          | 0.5630   |
+| 0.0043        | 18.9991 | 5011 | 3.0502          | 0.5629   |
+| 0.0043        | 19.9431 | 5260 | 3.0561          | 0.5629   |
+
+
+### Framework versions
+
+- Transformers 4.43.3
+- Pytorch 2.2.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.19.1

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runs/Oct01_10-09-21_ki-g0010/events.out.tfevents.1727866275.ki-g0010.1562654.1

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