update model card README.md

README.md

@@ -1,42 +1,39 @@
 ---
-language:
-- cs
 license: apache-2.0
 base_model: openai/whisper-tiny
 tags:
-- whisper-event
 - generated_from_trainer
 datasets:
-- mozilla-foundation/common_voice_13_0
+- common_voice_13_0
 metrics:
 - wer
 model-index:
-- name: Whisper tiny Czech CV13 v1
+- name: whisper_tiny_cs
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: mozilla-foundation/common_voice_13_0 cs
-      type: mozilla-foundation/common_voice_13_0
+      name: common_voice_13_0
+      type: common_voice_13_0
       config: cs
       split: test
       args: cs
     metrics:
     - name: Wer
       type: wer
-      value: 53.0400387724153
+      value: 45.51693948063724
 ---
 
 <!-- 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 tiny Czech CV13 v1
+# whisper_tiny_cs
 
-This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the mozilla-foundation/common_voice_13_0 cs dataset.
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the common_voice_13_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6426
-- Wer: 53.0400
+- Loss: 0.6782
+- Wer: 45.5169
 
 ## Model description
 
@@ -57,25 +54,25 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
 - train_batch_size: 32
-- eval_batch_size: 8
+- eval_batch_size: 16
 - seed: 42
 - distributed_type: multi-GPU
-- num_devices: 2
+- num_devices: 3
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 256
-- total_eval_batch_size: 16
+- total_train_batch_size: 384
+- total_eval_batch_size: 48
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 1000
-- training_steps: 300
+- training_steps: 3000
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.8297        | 1.45  | 100  | 0.8730          | 66.3524 |
-| 0.62          | 2.91  | 200  | 0.7188          | 57.8663 |
-| 0.4986        | 4.36  | 300  | 0.6426          | 53.0400 |
+| 0.1007        | 21.86 | 1000 | 0.5430          | 44.0802 |
+| 0.013         | 43.72 | 2000 | 0.6489          | 44.9182 |
+| 0.0079        | 65.57 | 3000 | 0.6782          | 45.5169 |
 
 
 ### Framework versions