Added training configuration (fairseq)

README.md

@@ -1 +1,47 @@
-Wav2vec2.0-xlsr-53 model is fine-tuned on commonvoice russian dataset
+Wav2vec2.0-xlsr-53 model is fine-tuned on commonvoice russian dataset
+
+Configs (yaml)
+-checkpoint
+---save_interval: 1000
+---save_interval_updates: 1000
+---keep_interval_updates: 1
+---no_epoch_ckechpoints: true
+---best_checkpoint_metric: wer
+-task:
+---_name: audio_finetuning
+---normalize: true
+---labels: phn
+-dataset:
+---num_workers: 6
+---max_tokens: 800000
+---skip_invalid_size_inputs_valid_test: true
+---valid_subset: valie
+-distributed_training:
+---ddp_backend: legacy_ddp
+---distributed_world_size: 4
+-criterion:
+---_name: ctc
+---zero_infinity: true
+-optimization:
+---max_update: 25000
+---lr: [0.00001]
+---sentence_avg: true
+---update_freq: [4]
+-optimizer:
+---_name: adam
+---adam_betas: (0.9, 0.98)
+---adam_eps: 1e-8
+-lr_scheduler:
+---_name: tri_stage
+---phase_ratio: [0.1, 0.4, 0.5]
+---final_lr_scale: 0.05
+-model:
+---_name: wav2vec_ctc
+---apply_mask: true
+---mask_prob: 0.5
+---mask_channel_prob: 0.1
+---mask_channel_length: 64
+---layerdrop: 0.1
+---activation_dropout: 0.1
+---feature_grad_mult: 0.0
+---freeze_finetune_updates: 0