update model card README.md

README.md

@@ -8,70 +8,9 @@ tags:
 - collectivat/tv3_parla
 - projecte-aina/parlament_parla
 - generated_from_trainer
-- robust-speech-event
-datasets:
-- mozilla-foundation/common_voice_8_0
-- collectivat/tv3_parla
-- projecte-aina/parlament_parla
 model-index:
 - name: wav2vec2-xls-r-300m-ca
-  results:
-  - task: 
-      name: Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: mozilla-foundation/common_voice_8_0 ca
-      type: mozilla-foundation/common_voice_8_0
-      args: ca
-    metrics:
-       - name: Test WER
-         type: wer
-         value: 0.1522665117742443
-       - name: Test CER
-         type: cer
-         value: 0.04078709154868726
-  - task: 
-      name: Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: projecte-aina/parlament_parla ca
-      type: projecte-aina/parlament_parla
-      args: clean
-    metrics:
-       - name: Test WER
-         type: wer
-         value: 0.06541946111307212
-       - name: Test CER
-         type: cer
-         value: 0.02205785796827398
-  - task: 
-      name: Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: collectivat/tv3_parla ca
-      type: collectivat/tv3_parla
-      args: ca
-    metrics:
-       - name: Test WER
-         type: wer
-         value: 0.24485121453593564
-       - name: Test CER
-         type: cer
-         value: 0.10753510718204506
-  - task: 
-      name: Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Robust Speech Event - Catalan Dev Data
-      type: speech-recognition-community-v2/dev_data
-      args: ca
-    metrics:
-       - name: Test WER
-         type: wer
-         value: 0.3325532856871798
-       - name: Test CER
-         type: cer
-         value: 0.15916561314791403
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -81,8 +20,8 @@ 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_8_0 - CA dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2549
-- Wer: 0.1573
+- Loss: 0.2472
+- Wer: 0.1499
 
 ## Model description
 
@@ -110,7 +49,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 2000
-- num_epochs: 12.0
+- num_epochs: 18.0
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -162,11 +101,28 @@ The following hyperparameters were used during training:
 | 1.0805        | 11.45 | 21500 | 0.2561          | 0.1524 |
 | 1.0722        | 11.72 | 22000 | 0.2540          | 0.1566 |
 | 1.0763        | 11.99 | 22500 | 0.2549          | 0.1572 |
+| 1.0835        | 12.25 | 23000 | 0.2586          | 0.1521 |
+| 1.0883        | 12.52 | 23500 | 0.2583          | 0.1519 |
+| 1.0888        | 12.79 | 24000 | 0.2551          | 0.1582 |
+| 1.0933        | 13.05 | 24500 | 0.2628          | 0.1537 |
+| 1.0799        | 13.32 | 25000 | 0.2600          | 0.1508 |
+| 1.0804        | 13.59 | 25500 | 0.2620          | 0.1475 |
+| 1.0814        | 13.85 | 26000 | 0.2537          | 0.1517 |
+| 1.0693        | 14.12 | 26500 | 0.2560          | 0.1542 |
+| 1.0724        | 14.38 | 27000 | 0.2540          | 0.1574 |
+| 1.0704        | 14.65 | 27500 | 0.2548          | 0.1626 |
+| 1.0729        | 14.92 | 28000 | 0.2548          | 0.1601 |
+| 1.0724        | 15.18 | 28500 | 0.2511          | 0.1512 |
+| 1.0655        | 15.45 | 29000 | 0.2498          | 0.1490 |
+| 1.0608        | 15.98 | 30000 | 0.2487          | 0.1481 |
+| 1.0541        | 16.52 | 31000 | 0.2468          | 0.1504 |
+| 1.0584        | 17.05 | 32000 | 0.2467          | 0.1493 |
+| 1.0507        | 17.58 | 33000 | 0.2481          | 0.1517 |
 
 
 ### Framework versions
 
 - Transformers 4.16.0.dev0
 - Pytorch 1.10.1+cu102
-- Datasets 1.18.1
+- Datasets 1.18.3
 - Tokenizers 0.11.0