update model card README.md

README.md

@@ -1,16 +1,16 @@
 ---
-language: es
+language:
+- es
+license: apache-2.0
 tags:
-- whisper-medium
-- mozilla-foundation/common_voice_11_0
-- spanish
 - whisper-event
+- generated_from_trainer
 datasets:
 - mozilla-foundation/common_voice_11_0
-metrics: wer
-license: creativeml-openrail-m
+metrics:
+- wer
 model-index:
-- name: Whisper Medium Spanish - Juan Carlos Piñeros
+- name: "Whisper Medium Es - Juan Carlos Pi\xF1eros"
   results:
   - task:
       name: Automatic Speech Recognition
@@ -18,13 +18,62 @@ model-index:
     dataset:
       name: Common Voice 11.0
       type: mozilla-foundation/common_voice_11_0
+      config: es
+      split: test
+      args: es
     metrics:
     - name: Wer
       type: wer
-      value: 6.086313
+      value: 5.563422365412595
 ---
 
-# Summary
+<!-- 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 Es - Juan Carlos Piñeros
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1679
+- Wer: 5.5634
+
+## 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: 1e-05
+- train_batch_size: 32
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.0721        | 1.0   | 1000 | 0.1679          | 5.5634 |
+
+
+### Framework versions
 
-This is an early attempt during the December 2022 [Whisper Event](https://github.com/huggingface/community-events/tree/main/whisper-fine-tuning-event) 
-to finetune `whisper-medium` for the Spanish language (es).
+- Transformers 4.26.0.dev0
+- Pytorch 1.12.1+cu113
+- Datasets 2.7.1.dev0
+- Tokenizers 0.13.2