update model card README.md

README.md

@@ -1,32 +1,12 @@
 ---
-language:
-- ja
 license: apache-2.0
 tags:
-- automatic-speech-recognition
-- mozilla-foundation/common_voice_8_0
 - generated_from_trainer
-- robust-speech-event
-- ja
 datasets:
 - common_voice
 model-index:
-- name: 'XLS-R-300-m'
-  results:
-  - task:
-      name: Automatic Speech Recognition 
-      type: automatic-speech-recognition
-    dataset:
-      name: Common Voice 8
-      type: mozilla-foundation/common_voice_8_0
-      args: ja
-    metrics:
-       - name: Test WER
-         type: wer
-         value: 94.91
-       - name: Test CER
-         type: cer
-         value: 23.32
+- name: ''
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,12 +14,10 @@ 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 - JA dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5351
-- Wer: 2.6188
-
-Kanji are converted into Hiragana using the [pykakasi](https://pykakasi.readthedocs.io/en/latest/index.html) library during training and evaluation. The model can output both Hiragana and Katakana characters.
+- Loss: 0.5228
+- Wer: 1.2781
 
 ## Model description
 
@@ -72,17 +50,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Wer    |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|
-| 4.221         | 4.5   | 1000  | 4.1195          | 2.4024 |
-| 2.3597        | 9.01  | 2000  | 1.1024          | 2.7618 |
-| 1.8795        | 13.51 | 3000  | 0.7498          | 2.5885 |
-| 1.7143        | 18.02 | 4000  | 0.6539          | 2.5976 |
-| 1.6025        | 22.52 | 5000  | 0.5989          | 2.6034 |
-| 1.5403        | 27.03 | 6000  | 0.6035          | 2.6946 |
-| 1.4773        | 31.53 | 7000  | 0.5647          | 2.5558 |
-| 1.4228        | 36.04 | 8000  | 0.5477          | 2.5676 |
-| 1.3801        | 40.54 | 9000  | 0.5413          | 2.6192 |
-| 1.3558        | 45.05 | 10000 | 0.5343          | 2.6575 |
-| 1.3298        | 49.55 | 11000 | 0.5349          | 2.6274 |
+| 4.0974        | 4.72  | 1000  | 4.0178          | 1.9535 |
+| 2.1276        | 9.43  | 2000  | 0.9301          | 1.2128 |
+| 1.7622        | 14.15 | 3000  | 0.7103          | 1.5527 |
+| 1.6397        | 18.87 | 4000  | 0.6729          | 1.4269 |
+| 1.5468        | 23.58 | 5000  | 0.6087          | 1.2497 |
+| 1.4885        | 28.3  | 6000  | 0.5786          | 1.3222 |
+| 1.451         | 33.02 | 7000  | 0.5726          | 1.3768 |
+| 1.3912        | 37.74 | 8000  | 0.5518          | 1.2497 |
+| 1.3617        | 42.45 | 9000  | 0.5352          | 1.2694 |
+| 1.3113        | 47.17 | 10000 | 0.5228          | 1.2781 |
 
 
 ### Framework versions
@@ -91,10 +68,3 @@ The following hyperparameters were used during training:
 - Pytorch 1.10.2+cu102
 - Datasets 1.18.2.dev0
 - Tokenizers 0.11.0
-
-#### Evaluation Commands
-1. To evaluate on `mozilla-foundation/common_voice_8_0` with split `test`
-
-```bash
-python ./eval.py --model_id AndrewMcDowell/wav2vec2-xls-r-300m-japanese --dataset mozilla-foundation/common_voice_8_0 --config ja --split test --log_outputs
-```