update model card README.md

README.md

@@ -0,0 +1,72 @@
+---
+language:
+- sv-SE
+license: apache-2.0
+tags:
+- automatic-speech-recognition
+- mozilla-foundation/common_voice_7_0
+- generated_from_trainer
+datasets:
+- common_voice
+model-index:
+- name: ''
+  results: []
+---
+
+<!-- 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. -->
+
+# 
+
+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: 0.8004
+- Wer: 0.7139
+
+## 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: 7.5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 8
+- 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: 2000
+- num_epochs: 10.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 2.6683        | 1.45  | 500  | 1.7698          | 1.0041 |
+| 1.9548        | 2.91  | 1000 | 1.0890          | 0.8602 |
+| 1.9568        | 4.36  | 1500 | 1.0878          | 0.8680 |
+| 1.9497        | 5.81  | 2000 | 1.1501          | 0.8838 |
+| 1.8453        | 7.27  | 2500 | 1.0452          | 0.8418 |
+| 1.6952        | 8.72  | 3000 | 0.9153          | 0.7823 |
+
+
+### Framework versions
+
+- Transformers 4.16.0.dev0
+- Pytorch 1.10.0+cu113
+- Datasets 1.18.1.dev0
+- Tokenizers 0.10.3