End of training

README.md

@@ -1,72 +1,72 @@
----
-language:
-- pl
-library_name: peft
-tags:
-- generated_from_trainer
-base_model: openai/whisper-base
-datasets:
-- mozilla-foundation/common_voice_17_0
-model-index:
-- name: Whisper Base Polish PEFT - s22678 prod
-  results:
-  - task:
-      type: automatic-speech-recognition
-      name: Automatic Speech Recognition
-    dataset:
-      name: Common Voice 17.0
-      type: mozilla-foundation/common_voice_17_0
-      split: test
-    metrics:
-    - type: wer
-      value: 69.3315858453473
-      name: WER
----
-
-<!-- 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 Base Polish PEFT - s22678 prod
-
-This model is a fine-tuned version of [openai/openai/whisper-base](https://huggingface.co/openai/openai/whisper-base) on the Common Voice 17.0 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.8904
-
-## 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: 0.001
-- train_batch_size: 52
-- eval_batch_size: 64
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 50
-- training_steps: 10
-- mixed_precision_training: Native AMP
-
-### Training results
-
-
-
-### Framework versions
-
-- PEFT 0.11.2.dev0
-- Transformers 4.36.0
-- Pytorch 2.1.0
-- Datasets 2.15.0
+---
+language:
+- pl
+library_name: peft
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_17_0
+base_model: openai/whisper-base
+model-index:
+- name: Whisper Base Polish PEFT - s22678 prod
+  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 Base Polish PEFT - s22678 prod
+
+This model is a fine-tuned version of [openai/openai/whisper-base](https://huggingface.co/openai/openai/whisper-base) on the Common Voice 17.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5546
+
+## 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: 0.001
+- train_batch_size: 52
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.3265        | 1.0   | 400  | 0.4049          |
+| 0.2506        | 2.01  | 800  | 0.3920          |
+| 0.185         | 3.01  | 1200 | 0.3868          |
+| 0.1506        | 4.01  | 1600 | 0.3859          |
+| 0.1217        | 5.01  | 2000 | 0.3856          |
+| 0.0931        | 6.02  | 2400 | 0.3922          |
+| 0.0698        | 7.02  | 2800 | 0.3999          |
+| 0.0549        | 8.02  | 3200 | 0.4077          |
+| 0.0477        | 9.02  | 3600 | 0.4121          |
+
+
+### Framework versions
+
+- PEFT 0.11.2.dev0
+- Transformers 4.36.0
+- Pytorch 2.1.0
+- Datasets 2.15.0
 - Tokenizers 0.15.1

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