End of training

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: torgo_tiny_finetune_F03
+  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. -->
+
+# torgo_tiny_finetune_F03
+
+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: 0.0640
+- Wer: 15.0892
+
+## 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: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer     |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|
+| 0.6368        | 0.85  | 500   | 0.1136          | 7.8189  |
+| 0.11          | 1.69  | 1000  | 0.0872          | 9.1907  |
+| 0.0969        | 2.54  | 1500  | 0.0843          | 9.3278  |
+| 0.0679        | 3.39  | 2000  | 0.0980          | 7.1331  |
+| 0.053         | 4.24  | 2500  | 0.0756          | 7.1331  |
+| 0.0361        | 5.08  | 3000  | 0.0637          | 9.1907  |
+| 0.0278        | 5.93  | 3500  | 0.0491          | 8.3676  |
+| 0.0233        | 6.78  | 4000  | 0.0446          | 27.8464 |
+| 0.0148        | 7.63  | 4500  | 0.0403          | 12.8944 |
+| 0.0149        | 8.47  | 5000  | 0.0748          | 28.6694 |
+| 0.0105        | 9.32  | 5500  | 0.0631          | 17.6955 |
+| 0.0087        | 10.17 | 6000  | 0.0619          | 12.0713 |
+| 0.0075        | 11.02 | 6500  | 0.0525          | 18.6557 |
+| 0.004         | 11.86 | 7000  | 0.0588          | 19.7531 |
+| 0.0039        | 12.71 | 7500  | 0.0618          | 24.5542 |
+| 0.0029        | 13.56 | 8000  | 0.0915          | 13.7174 |
+| 0.0022        | 14.41 | 8500  | 0.0638          | 20.4390 |
+| 0.0013        | 15.25 | 9000  | 0.0946          | 14.5405 |
+| 0.0004        | 16.1  | 9500  | 0.0746          | 15.7750 |
+| 0.0003        | 16.95 | 10000 | 0.0633          | 11.2483 |
+| 0.0001        | 17.8  | 10500 | 0.0645          | 12.7572 |
+| 0.0001        | 18.64 | 11000 | 0.0631          | 14.4033 |
+| 0.0001        | 19.49 | 11500 | 0.0640          | 15.0892 |
+
+
+### Framework versions
+
+- Transformers 4.32.0
+- Pytorch 2.1.0+cu121
+- Datasets 2.14.7
+- Tokenizers 0.13.3

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"
+  ],
+  "attention_dropout": 0.0,
+  "begin_suppress_tokens": [
+    220,
+    50257
+  ],
+  "bos_token_id": 50257,
+  "classifier_proj_size": 256,
+  "d_model": 384,
+  "decoder_attention_heads": 6,
+  "decoder_ffn_dim": 1536,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 4,
+  "decoder_start_token_id": 50258,
+  "dropout": 0.0,
+  "encoder_attention_heads": 6,
+  "encoder_ffn_dim": 1536,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 4,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": null,
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.05,
+  "max_length": 448,
+  "max_source_positions": 1500,
+  "max_target_positions": 448,
+  "median_filter_width": 7,
+  "model_type": "whisper",
+  "num_hidden_layers": 4,
+  "num_mel_bins": 80,
+  "pad_token_id": 50257,
+  "scale_embedding": false,
+  "suppress_tokens": [],
+  "torch_dtype": "float32",
+  "transformers_version": "4.32.0",
+  "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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+{
+  "chunk_length": 30,
+  "feature_extractor_type": "WhisperFeatureExtractor",
+  "feature_size": 80,
+  "hop_length": 160,
+  "n_fft": 400,
+  "n_samples": 480000,
+  "nb_max_frames": 3000,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "processor_class": "WhisperProcessor",
+  "return_attention_mask": false,
+  "sampling_rate": 16000
+}

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