Training in progress, step 5000

pytorch_model.bin

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run_3.sh

@@ -0,0 +1,34 @@
+python run_speech_recognition_ctc.py \
+      --dataset_name="google/fleurs" \
+      --dataset_config_name="ps_af" \
+      --model_name_or_path="facebook/wav2vec2-xls-r-300m" \
+      --output_dir="./" \
+      --overwrite_output_dir="False" \
+      --max_steps="5000" \
+      --per_device_train_batch_size="8" \
+      --per_device_eval_batch_size="8" \
+      --gradient_accumulation_steps="4" \
+      --learning_rate="7.5e-5" \
+      --warmup_steps="2000" \
+      --evaluation_strategy="steps" \
+      --text_column_name="transcription" \
+      --save_steps="500" \
+      --eval_steps="500" \
+      --logging_steps="10" \
+      --layerdrop="0.0" \
+      --activation_dropout="0.1" \
+      --eval_metrics wer cer \
+      --greater_is_better="False" \
+      --load_best_model_at_end \
+      --save_total_limit="3" \
+      --mask_time_prob="0.3" \
+      --mask_time_length="10" \
+      --mask_feature_prob="0.1" \
+      --fp16 \
+      --mask_feature_length="64" \
+      --chars_to_ignore , ? . ! - \; \: \" “ % ‘ ” � \
+      --group_by_length \
+      --push_to_hub \
+      --do_train --do_eval \
+      --gradient_checkpointing \
+      --use_auth_token 

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special_tokens_map.json

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       "rstrip": false,
       "single_word": false
     },
+    {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
     {
       "content": "</s>",
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training_args.bin

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