Update metadata with huggingface_hub

README.md

@@ -1,61 +1,72 @@
----
-language:
-- pl
-library_name: peft
-tags:
-- generated_from_trainer
-datasets:
-- mozilla-foundation/common_voice_17_0
-base_model: openai/whisper-small
-model-index:
-- name: Whisper Small 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 Small Polish PEFT - s22678 prod
-
-This model is a fine-tuned version of [openai/openai/whisper-small](https://huggingface.co/openai/openai/whisper-small) on the Common Voice 17.0 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.6719
-
-## 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: 32
-- 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: 15
-- 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
+base_model: openai/whisper-small
+datasets:
+- mozilla-foundation/common_voice_17_0
+model-index:
+- name: Whisper Small 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: 25.286041189931353
+      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 Small Polish PEFT - s22678 prod
+
+This model is a fine-tuned version of [openai/openai/whisper-small](https://huggingface.co/openai/openai/whisper-small) on the Common Voice 17.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6719
+
+## 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: 32
+- 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: 15
+- 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
 - Tokenizers 0.15.1