docs: typo in tf qa example

[chen-keinan]

What does this PR do?

fix type in tf qa docs to avoid the following error

python run_qa.py \
--model_name_or_path distilbert/distilbert-base-cased \
--output_dir output \
--dataset_name squad \
--do_train \
--do_eval \
usage: run_qa.py [-h] --model_name_or_path MODEL_NAME_OR_PATH [--config_name CONFIG_NAME] [--tokenizer_name TOKENIZER_NAME]
                 [--cache_dir CACHE_DIR] [--model_revision MODEL_REVISION] [--token TOKEN]
                 [--trust_remote_code [TRUST_REMOTE_CODE]] [--dataset_name DATASET_NAME]
                 [--dataset_config_name DATASET_CONFIG_NAME] [--train_file TRAIN_FILE] [--validation_file VALIDATION_FILE]
                 [--test_file TEST_FILE] [--overwrite_cache [OVERWRITE_CACHE]]
                 [--preprocessing_num_workers PREPROCESSING_NUM_WORKERS] [--max_seq_length MAX_SEQ_LENGTH]
                 [--pad_to_max_length [PAD_TO_MAX_LENGTH]] [--max_train_samples MAX_TRAIN_SAMPLES]
                 [--max_eval_samples MAX_EVAL_SAMPLES] [--max_predict_samples MAX_PREDICT_SAMPLES]
                 [--version_2_with_negative [VERSION_2_WITH_NEGATIVE]] [--null_score_diff_threshold NULL_SCORE_DIFF_THRESHOLD]
                 [--doc_stride DOC_STRIDE] [--n_best_size N_BEST_SIZE] [--max_answer_length MAX_ANSWER_LENGTH] --output_dir
                 OUTPUT_DIR [--overwrite_output_dir [OVERWRITE_OUTPUT_DIR]] [--do_train [DO_TRAIN]] [--do_eval [DO_EVAL]]
                 [--do_predict [DO_PREDICT]] [--eval_strategy {no,steps,epoch}] [--prediction_loss_only [PREDICTION_LOSS_ONLY]]
                 [--per_device_train_batch_size PER_DEVICE_TRAIN_BATCH_SIZE]
                 [--per_device_eval_batch_size PER_DEVICE_EVAL_BATCH_SIZE] [--per_gpu_train_batch_size PER_GPU_TRAIN_BATCH_SIZE]
                 [--per_gpu_eval_batch_size PER_GPU_EVAL_BATCH_SIZE] [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                 [--eval_accumulation_steps EVAL_ACCUMULATION_STEPS] [--eval_delay EVAL_DELAY]
                 [--torch_empty_cache_steps TORCH_EMPTY_CACHE_STEPS] [--learning_rate LEARNING_RATE] [--weight_decay WEIGHT_DECAY]
                 [--adam_beta1 ADAM_BETA1] [--adam_beta2 ADAM_BETA2] [--adam_epsilon ADAM_EPSILON] [--max_grad_norm MAX_GRAD_NORM]
                 [--num_train_epochs NUM_TRAIN_EPOCHS] [--max_steps MAX_STEPS]
                 [--lr_scheduler_type {linear,cosine,cosine_with_restarts,polynomial,constant,constant_with_warmup,inverse_sqrt,reduce_lr_on_plateau,cosine_with_min_lr,warmup_stable_decay}]
                 [--lr_scheduler_kwargs LR_SCHEDULER_KWARGS] [--warmup_ratio WARMUP_RATIO] [--warmup_steps WARMUP_STEPS]
                 [--log_level {detail,debug,info,warning,error,critical,passive}]
                 [--log_level_replica {detail,debug,info,warning,error,critical,passive}] [--log_on_each_node [LOG_ON_EACH_NODE]]
                 [--no_log_on_each_node] [--logging_dir LOGGING_DIR] [--logging_strategy {no,steps,epoch}]
                 [--logging_first_step [LOGGING_FIRST_STEP]] [--logging_steps LOGGING_STEPS]
                 [--logging_nan_inf_filter [LOGGING_NAN_INF_FILTER]] [--no_logging_nan_inf_filter]
                 [--save_strategy {no,steps,epoch}] [--save_steps SAVE_STEPS] [--save_total_limit SAVE_TOTAL_LIMIT]
                 [--save_safetensors [SAVE_SAFETENSORS]] [--no_save_safetensors] [--save_on_each_node [SAVE_ON_EACH_NODE]]
                 [--save_only_model [SAVE_ONLY_MODEL]]
                 [--restore_callback_states_from_checkpoint [RESTORE_CALLBACK_STATES_FROM_CHECKPOINT]] [--no_cuda [NO_CUDA]]
                 [--use_cpu [USE_CPU]] [--use_mps_device [USE_MPS_DEVICE]] [--seed SEED] [--data_seed DATA_SEED]
                 [--jit_mode_eval [JIT_MODE_EVAL]] [--use_ipex [USE_IPEX]] [--bf16 [BF16]] [--fp16 [FP16]]
                 [--fp16_opt_level FP16_OPT_LEVEL] [--half_precision_backend {auto,apex,cpu_amp}]
                 [--bf16_full_eval [BF16_FULL_EVAL]] [--fp16_full_eval [FP16_FULL_EVAL]] [--tf32 TF32] [--local_rank LOCAL_RANK]
                 [--ddp_backend {nccl,gloo,mpi,ccl,hccl,cncl}] [--tpu_num_cores TPU_NUM_CORES]
                 [--tpu_metrics_debug [TPU_METRICS_DEBUG]] [--debug DEBUG [DEBUG ...]]
                 [--dataloader_drop_last [DATALOADER_DROP_LAST]] [--eval_steps EVAL_STEPS]
                 [--dataloader_num_workers DATALOADER_NUM_WORKERS] [--dataloader_prefetch_factor DATALOADER_PREFETCH_FACTOR]
                 [--past_index PAST_INDEX] [--run_name RUN_NAME] [--disable_tqdm DISABLE_TQDM]
                 [--remove_unused_columns [REMOVE_UNUSED_COLUMNS]] [--no_remove_unused_columns]
                 [--label_names LABEL_NAMES [LABEL_NAMES ...]] [--load_best_model_at_end [LOAD_BEST_MODEL_AT_END]]
                 [--metric_for_best_model METRIC_FOR_BEST_MODEL] [--greater_is_better GREATER_IS_BETTER]
                 [--ignore_data_skip [IGNORE_DATA_SKIP]] [--fsdp FSDP] [--fsdp_min_num_params FSDP_MIN_NUM_PARAMS]
                 [--fsdp_config FSDP_CONFIG] [--fsdp_transformer_layer_cls_to_wrap FSDP_TRANSFORMER_LAYER_CLS_TO_WRAP]
                 [--accelerator_config ACCELERATOR_CONFIG] [--deepspeed DEEPSPEED]
                 [--label_smoothing_factor LABEL_SMOOTHING_FACTOR]
                 [--optim {adamw_hf,adamw_torch,adamw_torch_fused,adamw_torch_xla,adamw_torch_npu_fused,adamw_apex_fused,adafactor,adamw_anyprecision,sgd,adagrad,adamw_bnb_8bit,adamw_8bit,lion_8bit,lion_32bit,paged_adamw_32bit,paged_adamw_8bit,paged_lion_32bit,paged_lion_8bit,rmsprop,rmsprop_bnb,rmsprop_bnb_8bit,rmsprop_bnb_32bit,galore_adamw,galore_adamw_8bit,galore_adafactor,galore_adamw_layerwise,galore_adamw_8bit_layerwise,galore_adafactor_layerwise,lomo,adalomo}]
                 [--optim_args OPTIM_ARGS] [--adafactor [ADAFACTOR]] [--group_by_length [GROUP_BY_LENGTH]]
                 [--length_column_name LENGTH_COLUMN_NAME] [--report_to REPORT_TO]
                 [--ddp_find_unused_parameters DDP_FIND_UNUSED_PARAMETERS] [--ddp_bucket_cap_mb DDP_BUCKET_CAP_MB]
                 [--ddp_broadcast_buffers DDP_BROADCAST_BUFFERS] [--dataloader_pin_memory [DATALOADER_PIN_MEMORY]]
                 [--no_dataloader_pin_memory] [--dataloader_persistent_workers [DATALOADER_PERSISTENT_WORKERS]]
                 [--skip_memory_metrics [SKIP_MEMORY_METRICS]] [--no_skip_memory_metrics]
                 [--use_legacy_prediction_loop [USE_LEGACY_PREDICTION_LOOP]] [--push_to_hub [PUSH_TO_HUB]]
                 [--resume_from_checkpoint RESUME_FROM_CHECKPOINT] [--hub_model_id HUB_MODEL_ID]
                 [--hub_strategy {end,every_save,checkpoint,all_checkpoints}] [--hub_token HUB_TOKEN]
                 [--hub_private_repo [HUB_PRIVATE_REPO]] [--hub_always_push [HUB_ALWAYS_PUSH]]
                 [--gradient_checkpointing [GRADIENT_CHECKPOINTING]]
                 [--gradient_checkpointing_kwargs GRADIENT_CHECKPOINTING_KWARGS]
                 [--include_inputs_for_metrics [INCLUDE_INPUTS_FOR_METRICS]] [--eval_do_concat_batches [EVAL_DO_CONCAT_BATCHES]]
                 [--no_eval_do_concat_batches] [--fp16_backend {auto,apex,cpu_amp}] [--evaluation_strategy {no,steps,epoch}]
                 [--push_to_hub_model_id PUSH_TO_HUB_MODEL_ID] [--push_to_hub_organization PUSH_TO_HUB_ORGANIZATION]
                 [--push_to_hub_token PUSH_TO_HUB_TOKEN] [--mp_parameters MP_PARAMETERS]
                 [--auto_find_batch_size [AUTO_FIND_BATCH_SIZE]] [--full_determinism [FULL_DETERMINISM]]
                 [--torchdynamo TORCHDYNAMO] [--ray_scope RAY_SCOPE] [--ddp_timeout DDP_TIMEOUT] [--torch_compile [TORCH_COMPILE]]
                 [--torch_compile_backend TORCH_COMPILE_BACKEND] [--torch_compile_mode TORCH_COMPILE_MODE]
                 [--dispatch_batches DISPATCH_BATCHES] [--split_batches SPLIT_BATCHES]
                 [--include_tokens_per_second [INCLUDE_TOKENS_PER_SECOND]]
                 [--include_num_input_tokens_seen [INCLUDE_NUM_INPUT_TOKENS_SEEN]] [--neftune_noise_alpha NEFTUNE_NOISE_ALPHA]
                 [--optim_target_modules OPTIM_TARGET_MODULES] [--batch_eval_metrics [BATCH_EVAL_METRICS]]
                 [--eval_on_start [EVAL_ON_START]] [--eval_use_gather_object [EVAL_USE_GATHER_OBJECT]] [--tpu_name TPU_NAME]
                 [--tpu_zone TPU_ZONE] [--gcp_project GCP_PROJECT] [--poly_power POLY_POWER] [--xla [XLA]]
run_qa.py: error: argument --do_eval: Truthy value expected: got   but expected one of yes/no, true/false, t/f, y/n, 1/0 (case insensitive).

Fixes # (issue)

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[amyeroberts]

Thanks!