End of training

README.md

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+---
+language:
+- gn
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_16_1
+model-index:
+- name: Common Voice 16 - Guarani6
+  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. -->
+
+# Common Voice 16 - Guarani6
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 16 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6283
+- Cer: 13.6491
+
+## 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: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_steps: 50
+- training_steps: 500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Cer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 2.4072        | 1.01  | 100  | 0.9911          | 22.8186 |
+| 0.6348        | 2.02  | 200  | 0.7186          | 17.3426 |
+| 0.3663        | 3.03  | 300  | 0.6435          | 15.6068 |
+| 0.2288        | 4.04  | 400  | 0.6388          | 13.7347 |
+| 0.1445        | 5.05  | 500  | 0.6283          | 13.6491 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

generation_config.json

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+}