update model card README.md

.ipynb_checkpoints/eval_results-checkpoint.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 1.0,
+    "eval_loss": 3.82973051071167,
+    "eval_runtime": 132.808,
+    "eval_samples": 4620,
+    "eval_samples_per_second": 34.787,
+    "eval_steps_per_second": 4.352,
+    "eval_wer": 1.0
+}

.ipynb_checkpoints/vocab-checkpoint.json

@@ -0,0 +1 @@
+{"a": 1, "b": 2, "c": 3, "d": 4, "e": 5, "f": 6, "g": 7, "h": 8, "i": 9, "j": 10, "k": 11, "l": 12, "m": 13, "n": 14, "o": 15, "p": 16, "q": 17, "r": 18, "s": 19, "t": 20, "u": 21, "v": 22, "w": 23, "x": 24, "y": 25, "z": 26, "ä": 27, "å": 28, "é": 29, "ô": 30, "ö": 31, "ü": 32, "|": 0, "[UNK]": 33, "[PAD]": 34}

README.md

@@ -20,7 +20,7 @@ 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: 14.2136
+- Loss: 3.8297
 - Wer: 1.0
 
 ## Model description
@@ -40,7 +40,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0075
+- learning_rate: 7.5e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -49,15 +49,11 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 2000
-- training_steps: 10
+- num_epochs: 1.0
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer |
-|:-------------:|:-----:|:----:|:---------------:|:---:|
-| 10.3458       | 0.01  | 5    | 15.0991         | 1.0 |
-| 11.9029       | 0.03  | 10   | 14.2136         | 1.0 |
 
 
 ### Framework versions