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-lr3e-06-SF-800
+  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-lr3e-06-SF-800
+
+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: 0.6191
+- Wer Ortho: 30.5394
+- Wer: 20.0215
+
+## 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: 3e-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     |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
+| 1.2835        | 2.0   | 100  | 0.7681          | 30.5758   | 19.3039 |
+| 0.5883        | 4.0   | 200  | 0.6235          | 27.6968   | 17.5099 |
+| 0.3246        | 6.0   | 300  | 0.5332          | 29.4461   | 19.6268 |
+| 0.1851        | 8.0   | 400  | 0.5366          | 34.6574   | 23.3226 |
+| 0.1133        | 10.0  | 500  | 0.5747          | 29.9198   | 19.0886 |
+| 0.0837        | 12.0  | 600  | 0.5947          | 30.1020   | 19.9498 |
+| 0.0697        | 14.0  | 700  | 0.6128          | 30.3571   | 20.4521 |
+| 0.0622        | 16.0  | 800  | 0.6191          | 30.5394   | 20.0215 |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 1.13.1+cu117
+- Datasets 2.21.0
+- Tokenizers 0.19.1

config.json

@@ -2,7 +2,7 @@
   "_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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