Update README.md

README.md

@@ -37,22 +37,31 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-xlsr-1b-finnish-v2
 
-This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b).
-It achieves the following results on the evaluation set without LM:
+This acoustic model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) for Finnish ASR. The model has been fine-tuned with 275.6 hours of Finnish transcribed speech data.
+It achieves the following results on the Common Voice 7 test set without language model:
 - Wer: 9.73
 - Cer: 1.65
 
 ## Model description
 
-More information needed
+TODO
 
 ## Intended uses & limitations
 
-More information needed
+TODO
 
 ## Training and evaluation data
 
-More information needed
+This model was fine-tuned with 275.6 hours of Finnish transcribed speech data from following datasets:
+
+| Dataset                                                                                                                       | Hours    | % of total hours |
+|:------------------------------------------------------------------------------------------------------------------------------|:--------:|:----------------:|
+| [Common Voice 7.0 Finnish train+evaluation+other splits](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0) | 9.70 h   | 3.52 %           |
+| [Finnish parliament session 2](https://b2share.eudat.eu/records/4df422d631544ce682d6af1d4714b2d4)                             | 0.24 h   | 0.09 %           |
+| [VoxPopuli Finnish](https://github.com/facebookresearch/voxpopuli)                                                            | 21.97 h  | 7.97 %           |
+| [CSS10 Finnish](https://github.com/kyubyong/css10)                                                                            | 10.32 h  | 3.74 %           |
+| [Aalto Finnish Parliament ASR Corpus](http://urn.fi/urn:nbn:fi:lb-2021051903)                                                 | 228.00 h | 82.73 %          |
+| [Finnish Broadcast Corpus](http://urn.fi/urn:nbn:fi:lb-2016042502)                                                            | 5.37 h   | 1.95 %           |
 
 ## Training procedure
 
@@ -63,7 +72,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 32
 - eval_batch_size: 8
 - seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- optimizer: [8-bit Adam](https://github.com/facebookresearch/bitsandbytes) with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
 - num_epochs: 10