Update README.md

README.md

@@ -37,19 +37,35 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-xlsr-1b-finnish
 
-This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b)
+**Note**: there is a better V2 version of this model which has been fine-tuned longer with 16 hours of more data: [aapot/wav2vec2-xlsr-1b-finnish-v2](https://huggingface.co/aapot/wav2vec2-xlsr-1b-finnish-v2)
+
+**Note:**: there is a language model version of this acoustic only model which achieves better test results thanks to the added language model: [aapot/wav2vec2-xlsr-1b-finnish-lm](https://huggingface.co/aapot/wav2vec2-xlsr-1b-finnish-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 259.57 hours of Finnish transcribed speech data.
+It achieves the following results on the Common Voice 7 test set together without language model:
+- Wer: 13.11
+- Cer: 2.23
 
 ## 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 259.57 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   | 3.74 %           |
+| [Finnish parliament session 2](https://b2share.eudat.eu/records/4df422d631544ce682d6af1d4714b2d4)                             | 0.24 h   | 0.09 %           |
+| [VoxPopuli Finnish](https://github.com/facebookresearch/voxpopuli)                                                            | 5.94 h   | 2.29 %           |
+| [CSS10 Finnish](https://github.com/kyubyong/css10)                                                                            | 10.32 h  | 3.98 %           |
+| [Aalto Finnish Parliament ASR Corpus](http://urn.fi/urn:nbn:fi:lb-2021051903)                                                 | 228.00 h | 87.84 %          |
+| [Finnish Broadcast Corpus](http://urn.fi/urn:nbn:fi:lb-2016042502)                                                            | 5.37 h   | 2.07 %           |
 
 ## Training procedure
 
@@ -60,7 +76,7 @@ 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: 5