Create README.md

README.md

@@ -0,0 +1,105 @@
+---
+language:
+- kk
+license: apache-2.0
+tags:
+- automatic-speech-recognition
+- mozilla-foundation/common_voice_8_0
+- generated_from_trainer
+- kk
+- robust-speech-event
+- model_for_talk
+datasets:
+- common_voice
+model-index:
+- name: wav2vec2-large-xls-r-300m-kk-with-LM
+  results:
+  - task: 
+      name: Automatic Speech Recognition 
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 8
+      type: mozilla-foundation/common_voice_8_0
+      args: tt
+    metrics:
+       - name: Test WER
+         type: wer
+         value: 0.4355
+       - name: Test CER
+         type: cer
+         value: 0.10469915859660263
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+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 - KK dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7149
+- Wer: 0.451
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.000222
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 150.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 9.6799        | 9.09   | 200  | 3.6119          | 1.0    |
+| 3.1332        | 18.18  | 400  | 2.5352          | 1.005  |
+| 1.0465        | 27.27  | 600  | 0.6169          | 0.682  |
+| 0.3452        | 36.36  | 800  | 0.6572          | 0.607  |
+| 0.2575        | 45.44  | 1000 | 0.6527          | 0.578  |
+| 0.2088        | 54.53  | 1200 | 0.6828          | 0.551  |
+| 0.158         | 63.62  | 1400 | 0.7074          | 0.5575 |
+| 0.1309        | 72.71  | 1600 | 0.6523          | 0.5595 |
+| 0.1074        | 81.8   | 1800 | 0.7262          | 0.5415 |
+| 0.087         | 90.89  | 2000 | 0.7199          | 0.521  |
+| 0.0711        | 99.98  | 2200 | 0.7113          | 0.523  |
+| 0.0601        | 109.09 | 2400 | 0.6863          | 0.496  |
+| 0.0451        | 118.18 | 2600 | 0.6998          | 0.483  |
+| 0.0378        | 127.27 | 2800 | 0.6971          | 0.4615 |
+| 0.0319        | 136.36 | 3000 | 0.7119          | 0.4475 |
+| 0.0305        | 145.44 | 3200 | 0.7181          | 0.459  |
+
+
+### Framework versions
+
+- Transformers 4.17.0.dev0
+- Pytorch 1.10.2+cu102
+- Datasets 1.18.2.dev0
+- Tokenizers 0.11.0
+
+### Evaluation Command
+
+!python eval.py \
+    --model_id DrishtiSharma/wav2vec2-xls-r-300m-kk-n2 \
+    --dataset mozilla-foundation/common_voice_8_0 --config kk --split test --log_outputs