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README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- Splend1dchan/NMSQA_testupload2
+model-index:
+- name: phoneme_byt5_g2p_v1-1024-train-longer
+  results: []
+---
+
+<!-- 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. -->
+
+# phoneme_byt5_g2p_v1-1024-train-longer
+
+This model is a fine-tuned version of [voidful/phoneme_byt5_g2p_v1](https://huggingface.co/voidful/phoneme_byt5_g2p_v1) on the Splend1dchan/NMSQA_testupload2 dataset.
+
+## 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: 3e-05
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- total_eval_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 10.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.21.0.dev0
+- Pytorch 1.11.0+cu113
+- Datasets 2.2.2
+- Tokenizers 0.12.1

all_results.json

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+{
+    "epoch": 10.0,
+    "train_loss": 2.6413619818221132,
+    "train_runtime": 44032.3597,
+    "train_samples": 202884,
+    "train_samples_per_second": 46.076,
+    "train_steps_per_second": 1.44
+}

config.json

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+{
+  "_name_or_path": "voidful/phoneme_byt5_g2p_v1",
+  "architectures": [
+    "EncT5ForQuestionAnswering"
+  ],
+  "d_ff": 3584,
+  "d_kv": 64,
+  "d_model": 1472,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "gelu_new",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "gradient_checkpointing": false,
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "num_decoder_layers": 4,
+  "num_heads": 6,
+  "num_layers": 12,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "tokenizer_class": "ByT5Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.21.0.dev0",
+  "use_cache": true,
+  "vocab_size": 384
+}

pytorch_model.bin

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run_qa_nmsqa-Copy1.sh

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+python -m torch.distributed.launch \
+  --nproc_per_node=8 transformers/examples/pytorch/question-answering/run_qa_nmsqa.py \
+  --model_name_or_path voidful/phoneme_byt5_g2p_v1 \
+  --dataset_name Splend1dchan/NMSQA_testupload2 \
+  --dataloader_num_workers 4 \
+  --do_train \
+  --per_device_train_batch_size 1 \
+  --gradient_accumulation_step 4 \
+  --learning_rate 3e-5 \
+  --num_train_epochs 10 \
+  --warmup_steps 500 \
+  --logging_steps 50 \
+  --max_seq_length 1024 \
+  --doc_stride 256 \
+  --save_strategy "epoch" \
+  --ddp_find_unused_parameters=True \
+  --output_dir ./models/phoneme_byt5_g2p_v1-1024-train-longer \
+  --overwrite_output_dir
+#--save_strategy "epoch" \
+#allenai/longformer-base-4096
+#voidful/phone-led-base-16384
+# google/byt5-small
+# google/long-t5-tglobal-base 
+# voidful/phoneme-longt5-global

special_tokens_map.json

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train_results.json

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+}

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