Model save

README.md

@@ -0,0 +1,75 @@
+---
+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-FULL3
+  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-FULL3
+
+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: 0.6304
+- Wer Ortho: 32.2501
+- Wer: 23.5222
+
+## 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: 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: 200
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
+| 1.5524        | 0.5256 | 100  | 1.0430          | 42.1375   | 33.6570 |
+| 1.0535        | 1.0512 | 200  | 0.8779          | 37.1493   | 27.9815 |
+| 0.8222        | 1.5769 | 300  | 0.7495          | 35.4208   | 26.5674 |
+| 0.6909        | 2.1025 | 400  | 0.6826          | 33.2082   | 24.5121 |
+| 0.5843        | 2.6281 | 500  | 0.6558          | 32.8625   | 24.1350 |
+| 0.5347        | 3.1537 | 600  | 0.6436          | 32.4773   | 23.5693 |
+| 0.4819        | 3.6794 | 700  | 0.6377          | 33.5243   | 24.4555 |
+| 0.4922        | 4.2050 | 800  | 0.6338          | 31.9933   | 23.0980 |
+| 0.4638        | 4.7306 | 900  | 0.6318          | 32.1513   | 23.4845 |
+| 0.4362        | 5.2562 | 1000 | 0.6304          | 32.2501   | 23.5222 |
+
+
+### 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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+  "decoder_start_token_id": 50257,
+  "eos_token_id": 50256,
+  "is_multilingual": false,
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+  "no_timestamps_token_id": 50362,
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+  "task_to_id": {
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+  "transformers_version": "4.44.0"
+}

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runs/Aug19_13-36-54_whisper-finetune3/events.out.tfevents.1724074637.whisper-finetune3

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