End of training

README.md

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+---
+language:
+- en
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Whisper tiny En - SF test
+  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 - SF test
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the SF 200 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7031
+- Wer: 62.9291
+
+## 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: 2
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer     |
+|:-------------:|:-------:|:----:|:---------------:|:-------:|
+| 0.5292        | 8.8889  | 100  | 1.0957          | 59.9542 |
+| 0.0462        | 17.7778 | 200  | 1.2314          | 57.6659 |
+| 0.0058        | 26.6667 | 300  | 1.4473          | 63.6156 |
+| 0.0029        | 35.5556 | 400  | 1.5361          | 63.6156 |
+| 0.0017        | 44.4444 | 500  | 1.6016          | 60.6407 |
+| 0.0012        | 53.3333 | 600  | 1.6367          | 62.9291 |
+| 0.0009        | 62.2222 | 700  | 1.6670          | 63.6156 |
+| 0.0008        | 71.1111 | 800  | 1.6875          | 63.6156 |
+| 0.0007        | 80.0    | 900  | 1.6992          | 63.6156 |
+| 0.0007        | 88.8889 | 1000 | 1.7031          | 62.9291 |
+
+
+### Framework versions
+
+- Transformers 4.41.0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "openai/whisper-tiny",
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "apply_spec_augment": false,
+  "architectures": [
+    "WhisperForConditionalGeneration"
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+  "classifier_proj_size": 256,
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+  "decoder_layerdrop": 0.0,
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+  "dropout": 0.0,
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+  "max_source_positions": 1500,
+  "max_target_positions": 448,
+  "median_filter_width": 7,
+  "model_type": "whisper",
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+  "num_mel_bins": 80,
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+  "use_cache": true,
+  "use_weighted_layer_sum": false,
+  "vocab_size": 51865
+}

generation_config.json

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preprocessor_config.json

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+}

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