update model card README.md

README.md

@@ -7,25 +7,35 @@ tags:
 - generated_from_trainer
 datasets:
 - mozilla-foundation/common_voice_11_0
+metrics:
+- wer
 model-index:
-- name: Whisper Small GL - Atsui
-  results: []
+- name: "Whisper Small GL - Santiago Param\xE9s-Est\xE9vez"
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      config: gl
+      split: test
+      args: 'config: gl, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 15.233405065386526
 ---
 
 <!-- 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 GL - Atsui
+# Whisper Small GL - Santiago Paramés-Estévez
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.2656
-- eval_wer: 16.2721
-- eval_runtime: 1041.3568
-- eval_samples_per_second: 2.546
-- eval_steps_per_second: 0.319
-- epoch: 2.68
-- step: 1000
+- Loss: 0.3179
+- Wer: 15.2334
 
 ## Model description
 
@@ -45,18 +55,30 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 16
+- train_batch_size: 4
 - eval_batch_size: 8
 - seed: 42
+- 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: 500
 - training_steps: 4000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0707        | 2.69  | 1000 | 0.2596          | 16.4915 |
+| 0.0063        | 5.38  | 2000 | 0.2952          | 15.8583 |
+| 0.0014        | 8.06  | 3000 | 0.3105          | 15.2624 |
+| 0.0011        | 10.75 | 4000 | 0.3179          | 15.2334 |
+
+
 ### Framework versions
 
-- Transformers 4.25.0.dev0
-- Pytorch 1.12.1+cu113
-- Datasets 2.6.1
+- Transformers 4.26.0.dev0
+- Pytorch 1.13.0+cu117
+- Datasets 2.7.1
 - Tokenizers 0.13.2