Upload 13 files
Browse files- README.md +74 -3
- all_results.json +16 -0
- config.json +62 -0
- eval_results.json +9 -0
- generation_config.json +7 -0
- model.safetensors +3 -0
- special_tokens_map.json +125 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +938 -0
- train_results.json +11 -0
- trainer_state.json +534 -0
- training_args.bin +3 -0
README.md
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# flan-t5-small-detokenizer
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the [agentlans/c4-en-tokenized](https://huggingface.co/datasets/agentlans/c4-en-tokenized) dataset. It achieves the following results on the evaluation set:
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- Loss: 0.1093
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- Number of Input Tokens Seen: 77,750,728
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## Model Description
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The flan-t5-small-detokenizer is designed to correct spacing in tokenized text, making it more readable. This is particularly useful for processing older natural language processing (NLP) datasets that may contain tokenized text.
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Example:
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```python
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import torch
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from transformers import pipeline
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# Check if GPU is available
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device = 0 if torch.cuda.is_available() else -1
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# Initialize the pipeline
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model_name = "agentlans/flan-t5-small-detokenizer"
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flan_t5_pipeline = pipeline("text2text-generation", model=model_name, device=device)
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# Example input
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input_text = "A full time vegan , poet , artist and woman . Frontal and thorough when inspired . Our memories : childhood memories , the language we dearly speak and nature 's colorful and tasteful palette are a constant and renewable source of wonder and inspiration ."
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# Generate output
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output = flan_t5_pipeline(input_text, max_length=1024)
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# Print the result
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print(output[0]["generated_text"])
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# Expected output: A full time vegan, poet, artist and woman. Frontal and thorough when inspired. Our memories: childhood memories, the language we dearly speak and nature's colorful and tasteful palette are a constant and renewable source of wonder and inspiration.
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```
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## Training and Evaluation Data
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The model was trained on the c4-en-tokenized dataset, which consists of:
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- 100,000 training examples
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- 25,000 validation examples
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## Training Procedure
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### Training Hyperparameters
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The following hyperparameters were used during training:
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- Learning rate: 5e-05
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- Train batch size: 8
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- Eval batch size: 8
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- Seed: 42
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- Optimizer: Adam with betas=(0.9, 0.999) and epsilon=1e-08
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- Learning rate scheduler: Linear
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- Number of epochs: 1.0
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### Training Results
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
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| 0.1477 | 0.1 | 2500 | 0.1197 | 7,758,904 |
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| 0.1331 | 0.2 | 5000 | 0.1160 | 15,535,000 |
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| 0.1295 | 0.3 | 7500 | 0.1142 | 23,379,996 |
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| 0.1257 | 0.4 | 10000 | 0.1128 | 31,164,076 |
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| 0.1148 | 0.5 | 12500 | 0.1115 | 38,943,032 |
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| 0.1219 | 0.6 | 15000 | 0.1107 | 46,747,616 |
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| 0.1112 | 0.7 | 17500 | 0.1103 | 54,513,880 |
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| 0.1161 | 0.8 | 20000 | 0.1100 | 62,302,092 |
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| 0.1215 | 0.9 | 22500 | 0.1093 | 70,000,044 |
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| 0.1207 | 1.0 | 25000 | 0.1094 | 77,750,728 |
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## Framework Versions
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- Transformers: 4.43.3
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- PyTorch: 2.3.0+cu121
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- Datasets: 3.2.0
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- Tokenizers: 0.19.1
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all_results.json
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{
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"epoch": 1.0,
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"eval_loss": 0.10928191244602203,
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"eval_runtime": 45.2767,
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"eval_samples": 2500,
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"eval_samples_per_second": 55.216,
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"eval_steps_per_second": 6.913,
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"num_input_tokens_seen": 77750728,
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"total_flos": 2.8228754041061376e+16,
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"train_loss": 0.12799154373168944,
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"train_runtime": 4779.3877,
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"train_samples": 100000,
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"train_samples_per_second": 20.923,
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"train_steps_per_second": 5.231,
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"train_tokens_per_second": 16267.926
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}
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config.json
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{
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"_name_or_path": "google/flan-t5-small",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"classifier_dropout": 0.0,
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"d_ff": 1024,
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"d_kv": 64,
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"d_model": 512,
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"decoder_start_token_id": 0,
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"dense_act_fn": "gelu_new",
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "gated-gelu",
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"is_gated_act": true,
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"n_positions": 512,
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"num_decoder_layers": 8,
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"num_heads": 6,
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"num_layers": 8,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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"task_specific_params": {
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"summarization": {
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"early_stopping": true,
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"length_penalty": 2.0,
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"max_length": 200,
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"min_length": 30,
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"prefix": "summarize: "
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},
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"translation_en_to_de": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to German: "
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},
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"translation_en_to_fr": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to French: "
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},
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"translation_en_to_ro": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to Romanian: "
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}
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},
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.43.3",
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"use_cache": true,
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"vocab_size": 32128
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}
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eval_results.json
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{
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"epoch": 1.0,
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"eval_loss": 0.10928191244602203,
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"eval_runtime": 45.2767,
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"eval_samples": 2500,
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"eval_samples_per_second": 55.216,
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"eval_steps_per_second": 6.913,
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"num_input_tokens_seen": 77750728
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}
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generation_config.json
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{
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"_from_model_config": true,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.43.3"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ca338a267c31eee53d1a2ccce7fb39159f19e74e212c76f0848ed911f1ce2446
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size 307867048
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<extra_id_0>",
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"<extra_id_1>",
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"<extra_id_2>",
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"<extra_id_3>",
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"<extra_id_4>",
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"<extra_id_5>",
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"<extra_id_21>",
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"<extra_id_23>",
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"<extra_id_31>",
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|
| 57 |
+
"<extra_id_54>",
|
| 58 |
+
"<extra_id_55>",
|
| 59 |
+
"<extra_id_56>",
|
| 60 |
+
"<extra_id_57>",
|
| 61 |
+
"<extra_id_58>",
|
| 62 |
+
"<extra_id_59>",
|
| 63 |
+
"<extra_id_60>",
|
| 64 |
+
"<extra_id_61>",
|
| 65 |
+
"<extra_id_62>",
|
| 66 |
+
"<extra_id_63>",
|
| 67 |
+
"<extra_id_64>",
|
| 68 |
+
"<extra_id_65>",
|
| 69 |
+
"<extra_id_66>",
|
| 70 |
+
"<extra_id_67>",
|
| 71 |
+
"<extra_id_68>",
|
| 72 |
+
"<extra_id_69>",
|
| 73 |
+
"<extra_id_70>",
|
| 74 |
+
"<extra_id_71>",
|
| 75 |
+
"<extra_id_72>",
|
| 76 |
+
"<extra_id_73>",
|
| 77 |
+
"<extra_id_74>",
|
| 78 |
+
"<extra_id_75>",
|
| 79 |
+
"<extra_id_76>",
|
| 80 |
+
"<extra_id_77>",
|
| 81 |
+
"<extra_id_78>",
|
| 82 |
+
"<extra_id_79>",
|
| 83 |
+
"<extra_id_80>",
|
| 84 |
+
"<extra_id_81>",
|
| 85 |
+
"<extra_id_82>",
|
| 86 |
+
"<extra_id_83>",
|
| 87 |
+
"<extra_id_84>",
|
| 88 |
+
"<extra_id_85>",
|
| 89 |
+
"<extra_id_86>",
|
| 90 |
+
"<extra_id_87>",
|
| 91 |
+
"<extra_id_88>",
|
| 92 |
+
"<extra_id_89>",
|
| 93 |
+
"<extra_id_90>",
|
| 94 |
+
"<extra_id_91>",
|
| 95 |
+
"<extra_id_92>",
|
| 96 |
+
"<extra_id_93>",
|
| 97 |
+
"<extra_id_94>",
|
| 98 |
+
"<extra_id_95>",
|
| 99 |
+
"<extra_id_96>",
|
| 100 |
+
"<extra_id_97>",
|
| 101 |
+
"<extra_id_98>",
|
| 102 |
+
"<extra_id_99>"
|
| 103 |
+
],
|
| 104 |
+
"eos_token": {
|
| 105 |
+
"content": "</s>",
|
| 106 |
+
"lstrip": false,
|
| 107 |
+
"normalized": false,
|
| 108 |
+
"rstrip": false,
|
| 109 |
+
"single_word": false
|
| 110 |
+
},
|
| 111 |
+
"pad_token": {
|
| 112 |
+
"content": "<pad>",
|
| 113 |
+
"lstrip": false,
|
| 114 |
+
"normalized": false,
|
| 115 |
+
"rstrip": false,
|
| 116 |
+
"single_word": false
|
| 117 |
+
},
|
| 118 |
+
"unk_token": {
|
| 119 |
+
"content": "<unk>",
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"normalized": false,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false
|
| 124 |
+
}
|
| 125 |
+
}
|
spiece.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
|
| 3 |
+
size 791656
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,938 @@
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| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
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"0": {
|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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"1": {
|
| 12 |
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|
| 13 |
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|
| 14 |
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| 15 |
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|
| 16 |
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| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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|
| 25 |
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|
| 26 |
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| 27 |
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|
| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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|
| 34 |
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| 35 |
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|
| 36 |
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|
| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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| 70 |
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| 71 |
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| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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| 78 |
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| 79 |
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| 80 |
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| 81 |
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| 82 |
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| 83 |
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| 84 |
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| 85 |
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| 86 |
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| 87 |
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| 88 |
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| 89 |
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| 90 |
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| 91 |
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| 92 |
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| 93 |
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| 94 |
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| 95 |
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| 96 |
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| 97 |
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|
| 98 |
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| 99 |
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|
| 100 |
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| 101 |
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| 102 |
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| 103 |
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| 104 |
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| 105 |
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|
| 106 |
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| 107 |
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|
| 108 |
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|
| 109 |
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| 110 |
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| 111 |
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| 112 |
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| 113 |
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|
| 114 |
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| 115 |
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| 116 |
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|
| 117 |
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| 118 |
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| 119 |
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| 120 |
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| 121 |
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| 122 |
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| 123 |
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| 124 |
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| 125 |
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| 126 |
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| 127 |
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| 128 |
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| 129 |
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| 130 |
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| 131 |
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| 132 |
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| 133 |
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| 134 |
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| 135 |
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| 136 |
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| 137 |
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|
| 138 |
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| 139 |
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|
| 140 |
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| 141 |
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| 142 |
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| 143 |
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| 144 |
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| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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| 149 |
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| 150 |
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| 151 |
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| 152 |
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| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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| 157 |
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| 158 |
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| 159 |
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| 160 |
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| 161 |
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| 162 |
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| 163 |
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| 164 |
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| 165 |
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| 166 |
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| 167 |
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| 168 |
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| 169 |
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| 170 |
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| 171 |
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| 172 |
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| 173 |
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| 174 |
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| 175 |
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| 176 |
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| 177 |
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| 178 |
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| 179 |
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|
| 180 |
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| 181 |
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| 182 |
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| 183 |
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| 184 |
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| 185 |
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| 186 |
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| 187 |
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| 188 |
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| 189 |
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| 190 |
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| 191 |
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| 192 |
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| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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| 198 |
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| 199 |
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| 200 |
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| 201 |
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|
| 202 |
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| 203 |
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|
| 204 |
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|
| 205 |
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| 206 |
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| 207 |
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| 208 |
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| 209 |
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| 210 |
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| 211 |
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| 212 |
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| 213 |
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| 214 |
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| 216 |
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| 217 |
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| 218 |
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| 219 |
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| 220 |
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|
| 221 |
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| 222 |
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| 223 |
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| 224 |
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| 225 |
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| 226 |
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| 227 |
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| 228 |
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| 229 |
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| 230 |
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| 231 |
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| 232 |
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| 233 |
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| 234 |
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| 235 |
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| 236 |
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| 237 |
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| 241 |
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| 242 |
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| 243 |
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| 244 |
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| 273 |
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| 274 |
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| 275 |
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| 276 |
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| 277 |
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| 281 |
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| 282 |
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| 283 |
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| 284 |
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"32093": {
|
| 772 |
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|
| 773 |
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|
| 774 |
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|
| 775 |
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|
| 776 |
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|
| 777 |
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|
| 778 |
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},
|
| 779 |
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"32094": {
|
| 780 |
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"content": "<extra_id_5>",
|
| 781 |
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|
| 782 |
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|
| 783 |
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|
| 784 |
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"single_word": false,
|
| 785 |
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"special": true
|
| 786 |
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},
|
| 787 |
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"32095": {
|
| 788 |
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"content": "<extra_id_4>",
|
| 789 |
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|
| 790 |
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"normalized": false,
|
| 791 |
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"rstrip": false,
|
| 792 |
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"single_word": false,
|
| 793 |
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"special": true
|
| 794 |
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},
|
| 795 |
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"32096": {
|
| 796 |
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"content": "<extra_id_3>",
|
| 797 |
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"lstrip": false,
|
| 798 |
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"normalized": false,
|
| 799 |
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"rstrip": false,
|
| 800 |
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"single_word": false,
|
| 801 |
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"special": true
|
| 802 |
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},
|
| 803 |
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"32097": {
|
| 804 |
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"content": "<extra_id_2>",
|
| 805 |
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|
| 806 |
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"normalized": false,
|
| 807 |
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"rstrip": false,
|
| 808 |
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|
| 809 |
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"special": true
|
| 810 |
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},
|
| 811 |
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"32098": {
|
| 812 |
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"content": "<extra_id_1>",
|
| 813 |
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|
| 814 |
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|
| 815 |
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"rstrip": false,
|
| 816 |
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|
| 817 |
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"special": true
|
| 818 |
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},
|
| 819 |
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"32099": {
|
| 820 |
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|
| 821 |
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|
| 822 |
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|
| 823 |
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"rstrip": false,
|
| 824 |
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|
| 825 |
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"special": true
|
| 826 |
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}
|
| 827 |
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},
|
| 828 |
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"additional_special_tokens": [
|
| 829 |
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|
| 830 |
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|
| 831 |
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|
| 832 |
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|
| 833 |
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|
| 834 |
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|
| 835 |
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|
| 836 |
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|
| 837 |
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|
| 838 |
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|
| 839 |
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|
| 840 |
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|
| 841 |
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|
| 842 |
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|
| 843 |
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|
| 844 |
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|
| 845 |
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|
| 846 |
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|
| 847 |
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"<extra_id_18>",
|
| 848 |
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|
| 849 |
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|
| 850 |
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|
| 851 |
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|
| 852 |
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|
| 853 |
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|
| 854 |
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|
| 855 |
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|
| 856 |
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|
| 857 |
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|
| 858 |
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"<extra_id_29>",
|
| 859 |
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|
| 860 |
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"<extra_id_31>",
|
| 861 |
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"<extra_id_32>",
|
| 862 |
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"<extra_id_33>",
|
| 863 |
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"<extra_id_34>",
|
| 864 |
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"<extra_id_35>",
|
| 865 |
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"<extra_id_36>",
|
| 866 |
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"<extra_id_37>",
|
| 867 |
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"<extra_id_38>",
|
| 868 |
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"<extra_id_39>",
|
| 869 |
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"<extra_id_40>",
|
| 870 |
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"<extra_id_41>",
|
| 871 |
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"<extra_id_42>",
|
| 872 |
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"<extra_id_43>",
|
| 873 |
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"<extra_id_44>",
|
| 874 |
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"<extra_id_45>",
|
| 875 |
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"<extra_id_46>",
|
| 876 |
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"<extra_id_47>",
|
| 877 |
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"<extra_id_48>",
|
| 878 |
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"<extra_id_49>",
|
| 879 |
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"<extra_id_50>",
|
| 880 |
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"<extra_id_51>",
|
| 881 |
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|
| 882 |
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|
| 883 |
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|
| 884 |
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"<extra_id_55>",
|
| 885 |
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|
| 886 |
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|
| 887 |
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|
| 888 |
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|
| 889 |
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|
| 890 |
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"<extra_id_61>",
|
| 891 |
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|
| 892 |
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"<extra_id_63>",
|
| 893 |
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"<extra_id_64>",
|
| 894 |
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"<extra_id_65>",
|
| 895 |
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"<extra_id_66>",
|
| 896 |
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"<extra_id_67>",
|
| 897 |
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"<extra_id_68>",
|
| 898 |
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"<extra_id_69>",
|
| 899 |
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"<extra_id_70>",
|
| 900 |
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"<extra_id_71>",
|
| 901 |
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"<extra_id_72>",
|
| 902 |
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"<extra_id_73>",
|
| 903 |
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|
| 904 |
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"<extra_id_75>",
|
| 905 |
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|
| 906 |
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"<extra_id_77>",
|
| 907 |
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"<extra_id_78>",
|
| 908 |
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"<extra_id_79>",
|
| 909 |
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"<extra_id_80>",
|
| 910 |
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"<extra_id_81>",
|
| 911 |
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"<extra_id_82>",
|
| 912 |
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"<extra_id_83>",
|
| 913 |
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"<extra_id_84>",
|
| 914 |
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"<extra_id_85>",
|
| 915 |
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"<extra_id_86>",
|
| 916 |
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"<extra_id_87>",
|
| 917 |
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"<extra_id_88>",
|
| 918 |
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"<extra_id_89>",
|
| 919 |
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"<extra_id_90>",
|
| 920 |
+
"<extra_id_91>",
|
| 921 |
+
"<extra_id_92>",
|
| 922 |
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"<extra_id_93>",
|
| 923 |
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"<extra_id_94>",
|
| 924 |
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"<extra_id_95>",
|
| 925 |
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"<extra_id_96>",
|
| 926 |
+
"<extra_id_97>",
|
| 927 |
+
"<extra_id_98>",
|
| 928 |
+
"<extra_id_99>"
|
| 929 |
+
],
|
| 930 |
+
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|
| 931 |
+
"eos_token": "</s>",
|
| 932 |
+
"extra_ids": 100,
|
| 933 |
+
"model_max_length": 512,
|
| 934 |
+
"pad_token": "<pad>",
|
| 935 |
+
"sp_model_kwargs": {},
|
| 936 |
+
"tokenizer_class": "T5Tokenizer",
|
| 937 |
+
"unk_token": "<unk>"
|
| 938 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,11 @@
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|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 1.0,
|
| 3 |
+
"num_input_tokens_seen": 77750728,
|
| 4 |
+
"total_flos": 2.8228754041061376e+16,
|
| 5 |
+
"train_loss": 0.12799154373168944,
|
| 6 |
+
"train_runtime": 4779.3877,
|
| 7 |
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"train_samples": 100000,
|
| 8 |
+
"train_samples_per_second": 20.923,
|
| 9 |
+
"train_steps_per_second": 5.231,
|
| 10 |
+
"train_tokens_per_second": 16267.926
|
| 11 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,534 @@
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|
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training_args.bin
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