End of training

README.md

@@ -1,9 +1,64 @@
-# Nome do Modelo
-
-Descrição do modelo, incluindo detalhes sobre o treinamento e dados usados.
-
-## Dados e Configuração
-
-- **Finetuned From**: openai/whisper-tiny
-- **Dataset Tags**: PolyAI/minds14
-- **Tasks**: automatic-speech-recognition
+---
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-tiny-en
+  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-tiny-en
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4317
+- Wer Ortho: 0.3226
+- Wer: 0.3235
+
+## 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: 1
+- eval_batch_size: 1
+- 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: 445
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|
+| 0.3756        | 0.3371 | 150  | 0.4822          | 0.3492    | 0.3512 |
+| 0.4808        | 0.6742 | 300  | 0.4317          | 0.3226    | 0.3235 |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.1.1+cu118
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

@@ -148,7 +148,7 @@
   ],
   "torch_dtype": "float32",
   "transformers_version": "4.44.0",
-  "use_cache": true,
+  "use_cache": false,
   "use_weighted_layer_sum": false,
   "vocab_size": 51865
 }

generation_config.json

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+}

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