Model save

README.md

@@ -0,0 +1,81 @@
+---
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-base-basque
+  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-basque
+
+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: 0.2499
+- Wer: 58.5175
+
+## 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: 192
+- eval_batch_size: 96
+- 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: 10000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer      |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.4078        | 0.25  | 500   | 0.5613          | 137.5859 |
+| 0.2533        | 0.5   | 1000  | 0.3971          | 103.7717 |
+| 0.1994        | 0.74  | 1500  | 0.3350          | 72.6240  |
+| 0.1723        | 0.99  | 2000  | 0.3100          | 54.8270  |
+| 0.1403        | 1.24  | 2500  | 0.2895          | 47.9955  |
+| 0.1318        | 1.49  | 3000  | 0.2799          | 63.6193  |
+| 0.1279        | 1.73  | 3500  | 0.2711          | 76.5205  |
+| 0.1192        | 1.98  | 4000  | 0.2666          | 59.5729  |
+| 0.104         | 2.23  | 4500  | 0.2604          | 54.1401  |
+| 0.0986        | 2.48  | 5000  | 0.2601          | 53.6406  |
+| 0.0929        | 2.73  | 5500  | 0.2540          | 59.4667  |
+| 0.0971        | 2.97  | 6000  | 0.2522          | 41.1265  |
+| 0.0806        | 3.22  | 6500  | 0.2526          | 52.0420  |
+| 0.0812        | 3.47  | 7000  | 0.2508          | 54.2213  |
+| 0.0816        | 3.72  | 7500  | 0.2498          | 55.6263  |
+| 0.0799        | 3.96  | 8000  | 0.2511          | 62.8513  |
+| 0.0723        | 4.21  | 8500  | 0.2500          | 55.0456  |
+| 0.0724        | 4.46  | 9000  | 0.2498          | 59.0483  |
+| 0.0707        | 4.71  | 9500  | 0.2502          | 53.7030  |
+| 0.0685        | 4.96  | 10000 | 0.2499          | 58.5175  |
+
+
+### Framework versions
+
+- Transformers 4.38.0
+- Pytorch 2.1.1+cu121
+- Datasets 2.8.0
+- Tokenizers 0.15.2

generation_config.json

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+}

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