Model save

README.md

@@ -0,0 +1,73 @@
+---
+license: apache-2.0
+base_model: openai/whisper-medium.en
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-medium.en-cit-do015-wd0-lr5e-06-SF-1000
+  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-medium.en-cit-do015-wd0-lr5e-06-SF-1000
+
+This model is a fine-tuned version of [openai/whisper-medium.en](https://huggingface.co/openai/whisper-medium.en) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6318
+- Wer Ortho: 32.5802
+- Wer: 21.4926
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 2
+- 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: 200
+- training_steps: 800
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer Ortho | Wer     |
+|:-------------:|:-------:|:----:|:---------------:|:---------:|:-------:|
+| 1.1316        | 1.7699  | 100  | 0.6968          | 29.0816   | 18.8733 |
+| 0.4669        | 3.5398  | 200  | 0.5156          | 27.4417   | 17.5816 |
+| 0.2075        | 5.3097  | 300  | 0.5303          | 27.6968   | 16.7205 |
+| 0.1163        | 7.0796  | 400  | 0.5391          | 28.6443   | 17.8687 |
+| 0.0712        | 8.8496  | 500  | 0.5811          | 28.9723   | 17.5816 |
+| 0.0518        | 10.6195 | 600  | 0.6104          | 31.8513   | 21.2415 |
+| 0.0388        | 12.3894 | 700  | 0.6245          | 32.4344   | 21.4926 |
+| 0.034         | 14.1593 | 800  | 0.6318          | 32.5802   | 21.4926 |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 1.13.1+cu117
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

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   "_name_or_path": "openai/whisper-medium.en",
   "activation_dropout": 0.0,
   "activation_function": "gelu",
-  "apply_spec_augment": true,
+  "apply_spec_augment": false,
   "architectures": [
     "WhisperForConditionalGeneration"
   ],
@@ -19,7 +19,7 @@
   "decoder_layerdrop": 0.0,
   "decoder_layers": 24,
   "decoder_start_token_id": 50257,
-  "dropout": 0.15,
+  "dropout": 0,
   "encoder_attention_heads": 16,
   "encoder_ffn_dim": 4096,
   "encoder_layerdrop": 0.0,

generation_config.json

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+  "is_multilingual": false,
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+  "transformers_version": "4.44.0"
+}

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runs/Aug14_12-04-22_whisper-finetuning/events.out.tfevents.1723637080.whisper-finetuning

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