Update README.md

README.md

@@ -20,8 +20,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - SV-SE dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6482
-- Wer: 0.6389
+
+- Loss: 0.2604
+- Wer: 0.2334
 
 ## Model description
 
@@ -41,14 +42,14 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 7.5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 4
+- eval_batch_size: 4
 - seed: 42
 - distributed_type: multi-GPU
 - num_devices: 8
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 256
-- total_eval_batch_size: 64
+- gradient_accumulation_steps: 1
+- total_train_batch_size: 32
+- total_eval_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 2000
@@ -57,12 +58,7 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 3.3873        | 11.62 | 500  | 3.3324          | 1.0    |
-| 2.9207        | 23.25 | 1000 | 2.8924          | 0.9987 |
-| 2.1463        | 34.88 | 1500 | 1.3063          | 0.9139 |
-| 1.607         | 46.51 | 2000 | 0.7205          | 0.6856 |
+See Tensorboard
 
 
 ### Framework versions