Model save

README.md

@@ -0,0 +1,72 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: openai/whisper-large-v3
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-large-v3-cit-do01-wd0-lr3e-06-FULL4
+  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-v3-cit-do01-wd0-lr3e-06-FULL4
+
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4741
+- Wer Ortho: 26.0994
+- Wer: 18.8648
+
+## 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: 300
+- training_steps: 1200
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
+| 0.7796        | 0.7715 | 200  | 0.5425          | 30.3365   | 22.7179 |
+| 0.5403        | 1.5429 | 400  | 0.4978          | 28.0609   | 20.7078 |
+| 0.4638        | 2.3144 | 600  | 0.4795          | 26.7206   | 19.8063 |
+| 0.3967        | 3.0858 | 800  | 0.4749          | 26.6020   | 19.1786 |
+| 0.3536        | 3.8573 | 1000 | 0.4722          | 26.2948   | 19.0317 |
+| 0.3289        | 4.6287 | 1200 | 0.4741          | 26.0994   | 18.8648 |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 1.13.1+cu117
+- Datasets 3.0.1
+- Tokenizers 0.20.0

config.json

@@ -2,7 +2,7 @@
   "_name_or_path": "openai/whisper-large-v3",
   "activation_dropout": 0.0,
   "activation_function": "gelu",
-  "apply_spec_augment": true,
+  "apply_spec_augment": false,
   "architectures": [
     "WhisperForConditionalGeneration"
   ],
@@ -16,7 +16,7 @@
   "decoder_layerdrop": 0.0,
   "decoder_layers": 32,
   "decoder_start_token_id": 50258,
-  "dropout": 0.15,
+  "dropout": 0,
   "encoder_attention_heads": 20,
   "encoder_ffn_dim": 5120,
   "encoder_layerdrop": 0.0,

generation_config.json

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+    [
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+      1
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+    [
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+  ],
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+    50257
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+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
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+  "language": "english",
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+  "return_timestamps": false,
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+  "task": "transcribe",
+  "task_to_id": {
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+    "translate": 50359
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+  "transformers_version": "4.45.1"
+}

runs/Oct01_19-42-59_whisper-finetune-2/events.out.tfevents.1727811812.whisper-finetune-2

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