End of training

README.md

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+---
+language:
+- en
+license: apache-2.0
+base_model: openai/whisper-large-v3
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-large-cit-do0.2-wd0.001-tr5
+  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-large-cit-do0.2-wd0.001-tr5
+
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the SF 200 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8701
+- Wer: 28.8330
+
+## 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: 5e-06
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 4
+- 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: 100
+- training_steps: 200
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer     |
+|:-------------:|:-------:|:----:|:---------------:|:-------:|
+| 1.0205        | 0.8889  | 10   | 0.8452          | 34.3249 |
+| 0.7299        | 1.7778  | 20   | 0.6455          | 31.1213 |
+| 0.48          | 2.6667  | 30   | 0.5552          | 30.4348 |
+| 0.291         | 3.5556  | 40   | 0.5288          | 30.6636 |
+| 0.1931        | 4.4444  | 50   | 0.5479          | 28.3753 |
+| 0.107         | 5.3333  | 60   | 0.6104          | 29.0618 |
+| 0.0622        | 6.2222  | 70   | 0.6509          | 28.8330 |
+| 0.0271        | 7.1111  | 80   | 0.7900          | 30.4348 |
+| 0.0198        | 8.0     | 90   | 0.7246          | 30.2059 |
+| 0.0176        | 8.8889  | 100  | 0.6992          | 27.6888 |
+| 0.0163        | 9.7778  | 110  | 0.7896          | 29.5195 |
+| 0.0087        | 10.6667 | 120  | 0.7793          | 30.4348 |
+| 0.0092        | 11.5556 | 130  | 0.8213          | 28.8330 |
+| 0.0063        | 12.4444 | 140  | 0.8369          | 29.5195 |
+| 0.0038        | 13.3333 | 150  | 0.8262          | 29.7483 |
+| 0.0036        | 14.2222 | 160  | 0.8506          | 28.3753 |
+| 0.0021        | 15.1111 | 170  | 0.8647          | 29.5195 |
+| 0.0017        | 16.0    | 180  | 0.8608          | 29.5195 |
+| 0.0012        | 16.8889 | 190  | 0.8662          | 28.8330 |
+| 0.001         | 17.7778 | 200  | 0.8701          | 28.8330 |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 1.13.1+cu117
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "openai/whisper-large-v3",
+  "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": 1280,
+  "decoder_attention_heads": 20,
+  "decoder_ffn_dim": 5120,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 32,
+  "decoder_start_token_id": 50258,
+  "dropout": 0.2,
+  "encoder_attention_heads": 20,
+  "encoder_ffn_dim": 5120,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 32,
+  "eos_token_id": 50257,
+  "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": 32,
+  "num_mel_bins": 128,
+  "pad_token_id": 50256,
+  "scale_embedding": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.41.1",
+  "use_cache": true,
+  "use_weighted_layer_sum": false,
+  "vocab_size": 51866
+}

generation_config.json

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preprocessor_config.json

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+  "feature_extractor_type": "WhisperFeatureExtractor",
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+  "hop_length": 160,
+  "n_fft": 400,
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+  "padding_side": "right",
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+  "processor_class": "WhisperProcessor",
+  "return_attention_mask": false,
+  "sampling_rate": 16000
+}

runs/May27_15-14-10_whisper-finetune2/events.out.tfevents.1716822872.whisper-finetune2

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