Update README.md

README.md

@@ -35,26 +35,17 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-mms-1b-CV17.0-training_set_variations
 
-This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the common_voice_17_0 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.2335
-- Wer: 0.3849
-- Cer: 0.0627
-- Bleu: 0.3848
-
-## Model description
-
-More information needed
+This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on common_voice_17_0's Tamil dataset.
+Several adapters were trained with different training set sizes. The intention was to test the improvement in performance as the quantity of training data increased.
+This model should not be used to perform STT tasks.
 
 ## Intended uses & limitations
 
-More information needed
+Testing purposes only. This is not intended as an STT solution.
 
 ## Training and evaluation data
 
-More information needed
-
-## Training procedure
+common_voice_17_0 "ta"
 
 ### Training hyperparameters
 
@@ -71,21 +62,6 @@ The following hyperparameters were used during training:
 - training_steps: 2000
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch   | Step | Validation Loss | Wer    | Cer    | Bleu   |
-|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|:------:|
-| 12.5537       | 1.5625  | 50   | 3.9513          | 1.0006 | 0.9854 | 0.0    |
-| 2.2034        | 3.125   | 100  | 0.3019          | 0.4137 | 0.0683 | 0.3510 |
-| 0.226         | 4.6875  | 150  | 0.2305          | 0.3794 | 0.0623 | 0.3981 |
-| 0.1904        | 6.25    | 200  | 0.2262          | 0.3776 | 0.0618 | 0.3988 |
-| 0.1798        | 7.8125  | 250  | 0.2275          | 0.3760 | 0.0621 | 0.4040 |
-| 0.1724        | 9.375   | 300  | 0.2399          | 0.4021 | 0.0659 | 0.3610 |
-| 0.1791        | 10.9375 | 350  | 0.2310          | 0.3883 | 0.0635 | 0.3797 |
-| 0.1678        | 12.5    | 400  | 0.2405          | 0.3961 | 0.0666 | 0.3722 |
-| 0.1527        | 14.0625 | 450  | 0.2335          | 0.3849 | 0.0627 | 0.3848 |
-
-
 ### Framework versions
 
 - Transformers 4.44.2