End of training

README.md

@@ -1,13 +1,28 @@
 ---
 license: apache-2.0
+base_model: facebook/wav2vec2-xls-r-300m
 tags:
 - generated_from_trainer
 datasets:
 - xtreme_s
-base_model: facebook/wav2vec2-xls-r-300m
+metrics:
+- wer
 model-index:
 - name: wav2vec2-base-fleurs-CommonVoice-demo-google-colab-Ezra_William_Prod1
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: xtreme_s
+      type: xtreme_s
+      config: fleurs.id_id
+      split: test
+      args: fleurs.id_id
+    metrics:
+    - name: Wer
+      type: wer
+      value: 1.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
 # wav2vec2-base-fleurs-CommonVoice-demo-google-colab-Ezra_William_Prod1
 
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the xtreme_s dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1819
+- Wer: 1.0
 
 ## Model description
 
@@ -38,16 +56,22 @@ The following hyperparameters were used during training:
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
-- gradient_accumulation_steps: 2
-- total_train_batch_size: 16
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 200
-- num_epochs: 6
+- num_epochs: 30
 - mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Wer |
+|:-------------:|:-----:|:----:|:---------------:|:---:|
+| 7.236         | 6.15  | 100  | 2.9095          | 1.0 |
+| 2.8926        | 12.31 | 200  | 2.8601          | 1.0 |
+| 2.871         | 18.46 | 300  | 2.8546          | 1.0 |
+| 2.763         | 24.62 | 400  | 2.1819          | 1.0 |
 
 
 ### Framework versions

model.safetensors

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 size 1262073980

runs/Jan25_12-40-40_6ff5401fad7f/events.out.tfevents.1706186482.6ff5401fad7f.515.1

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