Publish schema-aware Text-to-SQL encoder-decoder model

README.md

@@ -0,0 +1,564 @@
+---
+license: bsd-3-clause
+library_name: transformers
+pipeline_tag: text2text-generation
+base_model: Salesforce/codet5p-770m
+language:
+  - en
+tags:
+  - text-to-sql
+  - sqlite
+  - text2text-generation
+  - encoder-decoder
+  - codet5
+  - codet5-plus
+  - peft
+  - lora
+  - schema-aware
+  - spider
+  - natural-language-to-sql
+model-index:
+  - name: Schema-Aware Text-to-SQL CodeT5+ 770M
+    results:
+      - task:
+          type: text2text-generation
+          name: Schema-Aware Text-to-SQL
+        dataset:
+          name: Spider 1.0 and curated portfolio examples
+          type: spider
+          split: validation
+        metrics:
+          - type: execution_accuracy
+            value: 60.99
+            name: Validation Execution Accuracy
+          - type: valid_sql_rate
+            value: 94.90
+            name: Validation Valid-SQL Rate
+          - type: exact_match
+            value: 42.04
+            name: Validation Exact Match
+      - task:
+          type: text2text-generation
+          name: Schema-Aware Text-to-SQL
+        dataset:
+          name: Held-Out Spider Evaluation
+          type: spider
+          split: test
+        metrics:
+          - type: execution_accuracy
+            value: 56.92
+            name: Held-Out Execution Accuracy
+          - type: valid_sql_rate
+            value: 92.69
+            name: Held-Out Valid-SQL Rate
+          - type: exact_match
+            value: 38.37
+            name: Held-Out Exact Match
+---
+
+# Schema-Aware Text-to-SQL CodeT5+ 770M
+
+This repository contains a schema-aware Text-to-SQL encoder-decoder model based
+on `Salesforce/codet5p-770m`.
+
+The model converts a natural-language question and a serialized relational
+database schema into one read-only SQLite query.
+
+It was fine-tuned using PEFT and LoRA on Spider 1.0 together with a small set of
+curated rule-based and synthetic portfolio examples. The final LoRA adapter was
+merged into the base model so that the model can be loaded directly with
+Hugging Face Transformers without requiring PEFT during inference.
+
+## Model summary
+
+| Property | Value |
+|---|---|
+| Selected experiment | CodeT5+ 770M LoRA r32 |
+| Base model | `Salesforce/codet5p-770m` |
+| Architecture | Encoder-decoder Transformer |
+| Task | Schema-aware natural-language-to-SQL generation |
+| Fine-tuning method | PEFT / LoRA |
+| LoRA rank | 32 |
+| LoRA alpha | 64 |
+| LoRA dropout | 0.05 |
+| Training precision | BF16 |
+| Training hardware | NVIDIA GeForce RTX 5090 |
+| Target SQL dialect | SQLite |
+| Output policy | One read-only `SELECT` or `WITH` query |
+| Validation examples | 628 |
+| Held-out test examples | 1,040 |
+
+## Final evaluation results
+
+### Validation results
+
+The selected model was evaluated on 628 validation examples.
+
+| Metric | Result |
+|---|---:|
+| Execution accuracy | 60.99% |
+| Valid-SQL rate | 94.90% |
+| Exact match | 42.04% |
+| Schema-linking precision | 88.89% |
+| Schema-linking recall | 100.00% |
+| Schema-linking F1 | 93.33% |
+| Average generation latency | 1,104.62 ms |
+| Median generation latency | 850.23 ms |
+| P95 generation latency | 2,639.82 ms |
+
+### Held-out test results
+
+The final held-out evaluation used 1,040 examples.
+
+| Metric | Result |
+|---|---:|
+| Execution accuracy | 56.92% |
+| Valid-SQL rate | 92.69% |
+| Exact match | 38.37% |
+| Schema-linking precision | 96.67% |
+| Schema-linking recall | 100.00% |
+| Schema-linking F1 | 98.15% |
+| Average generation latency | 1,184.16 ms |
+| Median generation latency | 932.17 ms |
+| P95 generation latency | 2,849.17 ms |
+
+## Portfolio quality gate
+
+The final project quality gate required:
+
+| Requirement | Minimum | Achieved |
+|---|---:|---:|
+| Held-out execution accuracy | 50.00% | 56.92% |
+| Held-out valid-SQL rate | 90.00% | 92.69% |
+| Improvement over the base model | 3 percentage points | Passed |
+| Held-out evaluation examples | 500 | 1,040 |
+
+The model passed all required portfolio-readiness checks.
+
+## Dataset
+
+The complete training corpus contained 8,070 examples.
+
+| Split | Examples |
+|---|---:|
+| Training | 6,402 |
+| Validation | 628 |
+| Held-out test | 1,040 |
+| Total | 8,070 |
+
+The corpus included:
+
+- Spider 1.0 examples;
+- curated rule-based examples;
+- synthetic portfolio examples.
+
+The evaluation process used database-aware splitting and leakage checks.
+
+The completed leakage audit found:
+
+- zero exact-record leakage;
+- zero question leakage;
+- no detected overlap between the training and held-out evaluation records.
+
+Spider database files and private database files are not redistributed with this
+model repository.
+
+## Input format
+
+The model expects one prompt containing:
+
+- a task instruction;
+- the database schema;
+- table names;
+- column names and data types;
+- primary-key indicators;
+- foreign-key relationships;
+- the natural-language question;
+- read-only SQL generation rules.
+
+Example input:
+
+```text
+Task:
+Generate one valid SQLite query for the given business question.
+
+Database schema:
+Table: sales
+
+Columns:
+- sale_id INTEGER PRIMARY KEY
+- region TEXT
+- sale_date TEXT
+- sales_amount REAL
+
+Question:
+What is the total sales amount for each region?
+
+Rules:
+- Use only tables and columns present in the schema.
+- Generate exactly one read-only SELECT or WITH query.
+- Return SQL only.
+```
+
+## Output format
+
+The expected output is SQL text without an explanation:
+
+```sql
+SELECT region,
+       SUM(sales_amount) AS total_sales
+FROM sales
+GROUP BY region;
+```
+
+## Ablation study
+
+The final ablation study was performed on the complete 1,040-example held-out
+test set.
+
+| Condition | Exact match | Valid SQL | Execution accuracy |
+|---|---:|---:|---:|
+| Base model without schema | 0.00% | 0.29% | 0.00% |
+| Base model with schema | 0.00% | 2.98% | 0.00% |
+| Fine-tuned model with schema | 38.37% | 92.69% | 56.92% |
+| Fine-tuned model with schema and conservative repair | 38.37% | 92.69% | 56.92% |
+
+The experiment demonstrates that both domain fine-tuning and structured schema
+conditioning were necessary for reliable Text-to-SQL generation.
+
+## Repair-layer interpretation
+
+The conservative repair condition produced the same results as the condition
+without repair:
+
+- repair attempt rate: 0.00%;
+- repair success rate: 0.00%;
+- execution-accuracy improvement: 0 percentage points.
+
+The repair layer should therefore be described as a conservative SQL formatting
+and safety mechanism rather than as an accuracy-improvement component.
+
+No repair-related performance gain is claimed for this experiment.
+
+## Basic usage
+
+```python
+from __future__ import annotations
+
+import torch
+from transformers import (
+    AutoModelForSeq2SeqLM,
+    AutoTokenizer,
+)
+
+MODEL_ID = (
+    "anmol-unitmole/"
+    "schema-aware-text-to-sql-codet5p-770m"
+)
+
+tokenizer = AutoTokenizer.from_pretrained(
+    MODEL_ID,
+    use_fast=True,
+)
+
+dtype = (
+    torch.bfloat16
+    if torch.cuda.is_available()
+    and torch.cuda.is_bf16_supported()
+    else torch.float32
+)
+
+model = AutoModelForSeq2SeqLM.from_pretrained(
+    MODEL_ID,
+    torch_dtype=dtype,
+)
+
+device = torch.device(
+    "cuda"
+    if torch.cuda.is_available()
+    else "cpu"
+)
+
+model = model.to(device)
+model.eval()
+
+prompt = """
+Task:
+Generate one valid SQLite query for the given business question.
+
+Database schema:
+Table: sales
+
+Columns:
+- sale_id INTEGER PRIMARY KEY
+- region TEXT
+- sale_date TEXT
+- sales_amount REAL
+
+Question:
+What is the total sales amount for each region?
+
+Rules:
+- Use only tables and columns present in the schema.
+- Generate exactly one read-only SELECT or WITH query.
+- Return SQL only.
+""".strip()
+
+inputs = tokenizer(
+    prompt,
+    return_tensors="pt",
+    truncation=True,
+    max_length=768,
+)
+
+inputs = {
+    key: value.to(device)
+    for key, value in inputs.items()
+}
+
+with torch.no_grad():
+    generated = model.generate(
+        **inputs,
+        max_new_tokens=256,
+        num_beams=4,
+        do_sample=False,
+        early_stopping=True,
+    )
+
+sql = tokenizer.decode(
+    generated[0],
+    skip_special_tokens=True,
+)
+
+print(sql)
+```
+
+## CPU usage
+
+The model can be loaded on CPU, but inference will be significantly slower:
+
+```python
+import torch
+from transformers import (
+    AutoModelForSeq2SeqLM,
+    AutoTokenizer,
+)
+
+MODEL_ID = (
+    "anmol-unitmole/"
+    "schema-aware-text-to-sql-codet5p-770m"
+)
+
+tokenizer = AutoTokenizer.from_pretrained(
+    MODEL_ID
+)
+
+model = AutoModelForSeq2SeqLM.from_pretrained(
+    MODEL_ID,
+    torch_dtype=torch.float32,
+)
+
+model = model.to("cpu")
+model.eval()
+```
+
+For interactive inference, a CUDA-capable GPU is recommended.
+
+## SQL validation and execution safety
+
+The model itself generates text and does not independently guarantee safe SQL.
+
+The accompanying project applies a separate SQL safety layer that includes:
+
+- destructive-keyword rejection;
+- read-only query enforcement;
+- single-statement enforcement;
+- SQL comment rejection;
+- schema-aware table validation;
+- schema-aware column validation;
+- handling of quoted SQLite string literals;
+- read-only SQLite execution;
+- query timeouts;
+- output-row limits;
+- structured execution-error reporting.
+
+Generated SQL should always be validated before execution.
+
+## Intended uses
+
+This model is intended for:
+
+- educational demonstrations;
+- machine-learning portfolio projects;
+- Text-to-SQL research;
+- schema-aware generation experiments;
+- public and synthetic SQLite databases;
+- human-reviewed analytics assistance;
+- encoder-decoder model demonstrations;
+- LoRA fine-tuning demonstrations.
+
+## Out-of-scope uses
+
+The model is not intended for:
+
+- autonomous execution on production databases;
+- unrestricted access to private databases;
+- destructive SQL operations;
+- unsupervised business-critical analytics;
+- financial decision automation;
+- medical decision automation;
+- legal decision automation;
+- compliance or safety-critical applications;
+- database administration.
+
+## Limitations
+
+The model can still generate SQL that is:
+
+- syntactically invalid;
+- valid but semantically incorrect;
+- based on an incorrect table;
+- based on an incorrect join relationship;
+- missing a required filter;
+- using an incorrect aggregation;
+- using an incorrect grouping condition;
+- using an incorrect ordering or limit;
+- incompatible with SQL dialects other than SQLite.
+
+Complex multi-table joins, correlated subqueries, nested aggregations and
+semantically ambiguous questions remain challenging.
+
+Exact-match accuracy is lower than execution accuracy because multiple SQL
+queries can be textually different while returning equivalent results.
+
+Human review is required before using generated SQL for real decisions.
+
+## Evaluation notes
+
+Execution accuracy compares the shape and normalized returned values of the
+generated and reference queries.
+
+Output aliases and SQLite-generated column labels are not required to match when
+the returned values are equivalent.
+
+The SQL validator masks quoted string literals before applying schema-aware
+identifier checks. This prevents values such as `"JetBlue Airways"` or
+`"Presentation"` from being incorrectly classified as column names.
+
+## Training configuration
+
+The selected experiment used approximately the following configuration:
+
+| Parameter | Value |
+|---|---:|
+| Base model | `Salesforce/codet5p-770m` |
+| Fine-tuning mode | LoRA |
+| LoRA rank | 32 |
+| LoRA alpha | 64 |
+| LoRA dropout | 0.05 |
+| Source length | 768 tokens |
+| Target length | 256 tokens |
+| Generation beams | 4 |
+| Precision | BF16 |
+| TF32 | Enabled |
+| Gradient checkpointing | Enabled |
+| Optimizer | Fused AdamW |
+| Learning-rate schedule | Cosine |
+| Evaluation strategy | Per epoch |
+| Model-selection metric | Validation exact match |
+
+## Training environment
+
+| Component | Version or value |
+|---|---|
+| Operating system | Windows 11 |
+| Python | 3.12.10 |
+| PyTorch | 2.11.0 with CUDA 12.8 |
+| Transformers | 4.57.6 |
+| GPU | NVIDIA GeForce RTX 5090 |
+| GPU memory | Approximately 31.84 GB |
+| Compute capability | 12.0 |
+| BF16 support | Yes |
+| TF32 support | Yes |
+
+## Reproducibility
+
+The complete project includes:
+
+- dataset preparation;
+- corpus construction;
+- database-aware data splitting;
+- leakage auditing;
+- schema serialization;
+- prompt construction;
+- LoRA training;
+- full fine-tuning comparison;
+- candidate-model evaluation;
+- execution-accuracy measurement;
+- SQL safety validation;
+- ablation studies;
+- error analysis;
+- reporting;
+- model merging;
+- deployment preparation.
+
+Source repository:
+
+```text
+https://github.com/unit-mole/encoder-decoder-projects
+```
+
+Project directory:
+
+```text
+01-schema-aware-text-to-sql-encoder-decoder
+```
+
+## Model selection
+
+Five final candidates were evaluated:
+
+1. CodeT5+ 770M LoRA rank 32;
+2. CodeT5-base full fine-tuning;
+3. CodeT5-base LoRA rank 64;
+4. CodeT5-base LoRA rank 32;
+5. FLAN-T5-base LoRA rank 32.
+
+Candidate ranking used:
+
+1. execution accuracy;
+2. valid-SQL rate;
+3. exact match;
+4. average latency.
+
+CodeT5+ 770M LoRA rank 32 was selected as the final model.
+
+## Base-model attribution
+
+This model is derived from:
+
+```text
+Salesforce/codet5p-770m
+```
+
+The base model and this merged derivative use the BSD 3-Clause license.
+
+Users should also review the original base-model documentation and comply with
+all applicable dataset, model and software licenses.
+
+## Citation
+
+A formal research-paper citation is not currently associated with this
+portfolio model.
+
+When referencing the implementation, cite the GitHub repository and this
+Hugging Face model page.
+
+## Disclaimer
+
+This model is provided for research, educational and portfolio-demonstration
+purposes.
+
+The model authors do not guarantee the correctness, completeness, safety or
+business suitability of generated SQL. Users are responsible for validating
+queries and protecting all connected databases.

config.json

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+{
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "bos_token_id": 1,
+  "classifier_dropout": 0.0,
+  "d_ff": 4096,
+  "d_kv": 64,
+  "d_model": 1024,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "relu",
+  "dropout_rate": 0.1,
+  "dtype": "bfloat16",
+  "eos_token_id": 2,
+  "feed_forward_proj": "relu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": false,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "n_positions": 512,
+  "num_decoder_layers": 24,
+  "num_heads": 16,
+  "num_layers": 24,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "transformers_version": "4.57.6",
+  "use_cache": true,
+  "vocab_size": 32100
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.57.6"
+}

merge_metadata.json

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+{
+  "base_model": "Salesforce/codet5p-770m",
+  "adapter": "experiments/codet5p-770m-lora-r32/adapter",
+  "merged_model": "models\\merged_model"
+}

model.safetensors

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+      "content": "<extra_id_59>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_58>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_57>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_56>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_55>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_54>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_53>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_52>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_51>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_50>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_49>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_48>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_47>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_46>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_45>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_44>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_43>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_42>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_41>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_40>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_39>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_38>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_37>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_36>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_35>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_34>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_33>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_32>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_31>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_30>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_29>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_28>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_27>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_26>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_25>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_24>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_23>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_22>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_21>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_20>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_19>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_18>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_17>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_16>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_15>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_14>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_13>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_12>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_11>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_10>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_9>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_8>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_7>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_6>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_5>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_4>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_3>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_2>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_1>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<extra_id_0>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false
+    }
+  ],
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,960 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "4": {
+      "content": "<mask>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32000": {
+      "content": "<extra_id_99>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32001": {
+      "content": "<extra_id_98>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32002": {
+      "content": "<extra_id_97>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32003": {
+      "content": "<extra_id_96>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32004": {
+      "content": "<extra_id_95>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32005": {
+      "content": "<extra_id_94>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32006": {
+      "content": "<extra_id_93>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32007": {
+      "content": "<extra_id_92>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32008": {
+      "content": "<extra_id_91>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32009": {
+      "content": "<extra_id_90>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32010": {
+      "content": "<extra_id_89>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32011": {
+      "content": "<extra_id_88>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32012": {
+      "content": "<extra_id_87>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32013": {
+      "content": "<extra_id_86>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32014": {
+      "content": "<extra_id_85>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32015": {
+      "content": "<extra_id_84>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32016": {
+      "content": "<extra_id_83>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32017": {
+      "content": "<extra_id_82>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32018": {
+      "content": "<extra_id_81>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32019": {
+      "content": "<extra_id_80>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32020": {
+      "content": "<extra_id_79>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32021": {
+      "content": "<extra_id_78>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32022": {
+      "content": "<extra_id_77>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32023": {
+      "content": "<extra_id_76>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32024": {
+      "content": "<extra_id_75>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32025": {
+      "content": "<extra_id_74>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32026": {
+      "content": "<extra_id_73>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32027": {
+      "content": "<extra_id_72>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32028": {
+      "content": "<extra_id_71>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32029": {
+      "content": "<extra_id_70>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32030": {
+      "content": "<extra_id_69>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32031": {
+      "content": "<extra_id_68>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32032": {
+      "content": "<extra_id_67>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32033": {
+      "content": "<extra_id_66>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32034": {
+      "content": "<extra_id_65>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32035": {
+      "content": "<extra_id_64>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32036": {
+      "content": "<extra_id_63>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32037": {
+      "content": "<extra_id_62>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32038": {
+      "content": "<extra_id_61>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32039": {
+      "content": "<extra_id_60>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32040": {
+      "content": "<extra_id_59>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32041": {
+      "content": "<extra_id_58>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32042": {
+      "content": "<extra_id_57>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32043": {
+      "content": "<extra_id_56>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32044": {
+      "content": "<extra_id_55>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
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+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}