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Model: GwadaDLT/whisper-base-gcf
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-base-gcf
+  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-gcf
+
+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: 2.4385
+- Wer: 100.1274
+
+## 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: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 1500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer       |
+|:-------------:|:-------:|:----:|:---------------:|:---------:|
+| 0.9963        | 1.4085  | 200  | 3.4896          | 101.2739  |
+| 0.6015        | 2.8169  | 400  | 3.0877          | 1097.9618 |
+| 0.3216        | 4.2254  | 600  | 2.8618          | 99.7452   |
+| 0.2368        | 5.6338  | 800  | 2.6891          | 100.1274  |
+| 0.1739        | 7.0423  | 1000 | 2.5483          | 421.6561  |
+| 0.1892        | 8.4507  | 1200 | 2.4829          | 104.5860  |
+| 0.1273        | 9.8592  | 1400 | 2.4358          | 1683.6943 |
+| 0.1256        | 10.5634 | 1500 | 2.4385          | 100.1274  |
+
+
+### Framework versions
+
+- Transformers 5.5.0
+- Pytorch 2.4.1+cu124
+- Datasets 3.6.0
+- Tokenizers 0.22.2