added model card

README.md

@@ -1,3 +1,52 @@
 ---
+language: 
+  - en
 license: apache-2.0
+tags:
+  - hyperion
+  - audio
+  - speech 
+  - speaker-recognition
+  - x-vector
+  - thin-resnet34
+datasets:
+ - voxceleb 
+metrics:
+ - eer
+ - min_dcf-p=0.05
+ - min_dcf-p=0.01
+model-index:
+ - name: voxceleb-v1.1-fbank80_stmn_lresnet34_e256_arcs30m0.3_do0_adam_lr0.05_b512.v1
+   results:
+   - task:
+     type: speaker-verification
+     name: Speaker Verification
+   - dataset:
+     type: voxceleb1
+     name: Voxceleb1
+     args: Train on VoxCeleb2-dev
+   - metrics:
+     - type: eer
+       value: 2.11
+       name: EER VoxCeleb1 Original
+     - type: min_dcf-p=0.05
+       value: 0.135
+       name: Minimum DCF VoxCeleb1 Original prior=0.05
+     - type: act_dcf-p=0.01
+       value: 0.208
+       name: Minimum DCF VoxCeleb1 Original prior=0.01
 ---
+# Hyperion Toolkit Speaker Verification pre-trained Model
+
+## Model Configuration
+This model was trained using recipe [voxceleb/v1.1](https://github.com/hyperion-ml/hyperion/tree/master/egs/voxceleb/v1.1)
+
+The configuration for this modeis is defined in
+[config_fbank80_stmn_lresnet34_arcs30m0.3_adam_lr0.05_amp.v1.sh](https://github.com/hyperion-ml/hyperion/blob/master/egs/voxceleb/v1.1/global_conf/config_fbank80_stmn_lresnet34_arcs30m0.3_adam_lr0.05_amp.v1.sh)
+
+This is an x-vector model with:
+  - 80 logMel filter-banks with short-time mean normalization.
+  - ThinResNet34 (aka Light ResNet34) encoder.
+  - Mean+Stddev pooling
+  - AAM-softmax loss (m=0.3, s=30)
+  - Mixed prec. training.