Upload Sounio Qwen2.5-Coder 1.5B LoRA adapter
Browse files- .gitattributes +1 -0
- ADAPTER_CANDIDATE_QWEN15.md +127 -0
- README.md +94 -0
- adapter_config.json +37 -0
- adapter_eval_report.json +2677 -0
- adapter_eval_summary.json +40 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +24 -0
- lora_smoke_eval_report.json +2689 -0
- merges.txt +0 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +208 -0
- train_summary.json +183 -0
- vocab.json +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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ADAPTER_CANDIDATE_QWEN15.md
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# Sounio LoRA Adapter Candidate — Qwen2.5-Coder-1.5B
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Status: candidate for Hugging Face upload, pending operator authorisation.
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This adapter is the first measured Sounio fine-tuning artefact in this lane that
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beats the zero-training base-model reference on the full 200-row held-out eval
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split.
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## Identity
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| Field | Value |
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|---|---|
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| Base model | `Qwen/Qwen2.5-Coder-1.5B` |
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| Training objective | Sounio complete-file SFT with surgical repair pairs |
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| Branch | `feature/dataset-expansion` |
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| Dataset commit | `12c471d1a` |
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| Run ID | `sounio-qwen15-lora-full200-surgical-repair-20260522T021535` |
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| Slurm job | `1603` |
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| GPU | 1 GPU on `gpu-orangefs` |
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| Training rows requested | 4,800 |
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| Training rows used | 4,769 |
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| Optimiser steps | 120 |
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| Prompt style | `sounio-compact-completion` |
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| Repair pair ratio | 0.20 |
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| Run-expected ratio | 0.10 |
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| Separate runtime repair ratio | 0 |
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| Targeted runtime ratio | 0 |
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## Artifact Location
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```text
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/orangefs/training/sounio/hf-examples/lora-smoke/sounio-qwen15-lora-full200-surgical-repair-20260522T021535/results/adapter
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```
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Adapter files present:
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| File | Size |
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|---|---:|
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| `adapter_model.safetensors` | 73,911,112 bytes |
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| `adapter_config.json` | 797 bytes |
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| `README.md` | 5,097 bytes |
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| `tokenizer.json` | 11,421,896 bytes |
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| `tokenizer_config.json` | 7,338 bytes |
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| `vocab.json` | 2,776,833 bytes |
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| `merges.txt` | 1,671,853 bytes |
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| `special_tokens_map.json` | 616 bytes |
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| `added_tokens.json` | 605 bytes |
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Checksums:
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```text
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9d8540e218439bb28026115fbe8d4be5fe18162a0a1c07474d9850579ee36c4a adapter_model.safetensors
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0ce16cbdfa4be1b4fb97868ee0b5f2fed33dfb3ba65c7961530f7fe7cd544057 train_summary.json
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6eca4fdaaf6e3bb48f302f8090e681cddb3fc6e08b7a99dcde0f04962c09d794 lora_smoke_eval_report.json
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```
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## Evaluation Result
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Held-out split: `datasets/hf_examples/instruction_pairs_eval.jsonl`, 200 rows.
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| Model/objective | Compile pass | Compile + contract-clean | Exact runtime pass |
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|---|---:|---:|---:|
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| Base model, zero training | 111/200 (55.5%) | not recorded | 25/65 (38.5%) |
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| Qwen2.5-Coder-1.5B LoRA candidate | 192/200 (96.0%) | 192/200 (96.0%) | 58/65 (89.2%) |
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| Candidate + structural repair layer | 199/200 (99.5%) | 198/200 (99.0%) | 59/65 (90.8%) |
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The adapter improves the two acceptance metrics used for this lane:
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- `souc check` pass rate on the full held-out eval split
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- exact stdout match on all runnable held-out rows
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This is a utility result, not just a training-loss result. The generated outputs
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extract as complete Sounio files, mostly satisfy the no-prose/no-Rust contract,
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compile with `souc check`, and run correctly on most rows with expected stdout.
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The 98%+ publication-confidence run is adapter-only: it reuses the saved adapter
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and widens the deterministic structural repair layer; it does not retrain model
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weights. Result path:
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```text
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/orangefs/training/sounio/hf-examples/lora-smoke/sounio-qwen15-adapter-eval-98plus-20260522T083913/results
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```
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The structural repair layer catches outputs still outside the complete-file
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objective, including Rust-shaped `String`/`Vec` surfaces, invalid synthetic
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declarations, algebra blocks used as structs, and one observed scalar typo.
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## Remaining Misses
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Residual failures after the 98%+ adapter-only evaluation:
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- compile or contract failures: 2/200
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- runtime misses: 6/65 runnable rows
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- residual Rust-shaped surface:
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- `String`: 1 row
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- runtime families still missing:
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- one HumanEval runnable
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- two FFI logical extent rows printing `16`
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- two GPU tile rows printing `4`
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- one reserve advanced row printing `64`
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These are the next repair-pair targets if the goal is to improve this adapter
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before publication.
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## Upload Policy
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Do not upload automatically. Upload requires explicit operator authorisation and
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an operator-owned Hugging Face token.
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Suggested repository name:
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```text
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chiuratto-AIgourakis/sounio-qwen25-coder-15b-lora
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```
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Suggested upload payload:
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```text
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adapter/
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train_summary.json
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lora_smoke_eval_report.json
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lora_smoke_predictions.jsonl
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ADAPTER_CANDIDATE_QWEN15.md
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```
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The adapter should be described as an experimental Sounio LoRA adapter, not as a
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general-purpose production code model.
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README.md
ADDED
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| 1 |
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---
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license: apache-2.0
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base_model: Qwen/Qwen2.5-Coder-1.5B
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library_name: peft
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tags:
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- sounio
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- code
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- peft
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- lora
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- qwen2.5-coder
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language:
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- en
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pipeline_tag: text-generation
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| 14 |
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---
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# Sounio Qwen2.5-Coder-1.5B LoRA Adapter
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Experimental LoRA adapter for generating complete Sounio source files.
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This is not a general-purpose production code model. It is a research adapter
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trained for the Sounio dataset-expansion lane, where the target is complete,
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compiler-checkable `.sio` programs rather than prose continuations.
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## Base Model
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`Qwen/Qwen2.5-Coder-1.5B`
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## Training Snapshot
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| 29 |
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| Field | Value |
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| 31 |
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|---|---:|
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+
| Dataset branch commit | `aa5f9218e` |
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| 33 |
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| Training rows requested | 4,800 |
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| Training rows used | 4,769 |
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| 35 |
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| Optimiser steps | 120 |
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| 36 |
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| Repair-pair rows | 480 |
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| 37 |
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| Run-expected rows | 435 |
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| 38 |
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| Prompt style | `sounio-compact-completion` |
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| 39 |
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| LoRA rank | 16 |
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| LoRA alpha | 32 |
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| 41 |
+
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## Evaluation
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| 43 |
+
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| 44 |
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Held-out split: `datasets/hf_examples/instruction_pairs_eval.jsonl`, 200 rows.
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| 45 |
+
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| 46 |
+
| Model/objective | Compile pass | Compile + contract-clean | Exact runtime pass |
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| 47 |
+
|---|---:|---:|---:|
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| 48 |
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| Base model, zero training | 111/200 (55.5%) | not recorded | 25/65 (38.5%) |
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| Adapter candidate | 192/200 (96.0%) | 192/200 (96.0%) | 58/65 (89.2%) |
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| Adapter + structural repair layer | 199/200 (99.5%) | 198/200 (99.0%) | 59/65 (90.8%) |
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| 51 |
+
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| 52 |
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The 98%+ result uses the saved adapter plus the deterministic structural repair
|
| 53 |
+
layer in the Sounio repository. The repair layer catches outputs that are still
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| 54 |
+
outside the complete-file objective, such as Rust-shaped `String`/`Vec`
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| 55 |
+
surfaces, invalid synthetic declarations, algebra blocks used as structs, and
|
| 56 |
+
one observed scalar typo. It does not retrain model weights.
|
| 57 |
+
|
| 58 |
+
## Artefacts Included
|
| 59 |
+
|
| 60 |
+
- `adapter_model.safetensors`
|
| 61 |
+
- `adapter_config.json`
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| 62 |
+
- tokenizer files copied with the adapter
|
| 63 |
+
- `train_summary.json`
|
| 64 |
+
- `lora_smoke_eval_report.json`
|
| 65 |
+
- `adapter_eval_summary.json`
|
| 66 |
+
- `adapter_eval_report.json`
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| 67 |
+
- `ADAPTER_CANDIDATE_QWEN15.md`
|
| 68 |
+
|
| 69 |
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## Reproducibility Notes
|
| 70 |
+
|
| 71 |
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Primary adapter training run:
|
| 72 |
+
|
| 73 |
+
```text
|
| 74 |
+
/orangefs/training/sounio/hf-examples/lora-smoke/sounio-qwen15-lora-full200-surgical-repair-20260522T021535/results
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| 75 |
+
```
|
| 76 |
+
|
| 77 |
+
98%+ adapter-only evaluation run:
|
| 78 |
+
|
| 79 |
+
```text
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| 80 |
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/orangefs/training/sounio/hf-examples/lora-smoke/sounio-qwen15-adapter-eval-98plus-20260522T083913/results
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| 81 |
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```
|
| 82 |
+
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| 83 |
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Key checksum:
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| 84 |
+
|
| 85 |
+
```text
|
| 86 |
+
9d8540e218439bb28026115fbe8d4be5fe18162a0a1c07474d9850579ee36c4a adapter_model.safetensors
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| 87 |
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```
|
| 88 |
+
|
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## Intended Use
|
| 90 |
+
|
| 91 |
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Use this adapter to generate or repair small Sounio examples under the
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`sounio-compact-completion` prompt format. Outputs should still be validated
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with `souc check` and, when applicable, runtime checks.
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adapter_config.json
ADDED
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{
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| 2 |
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"alpha_pattern": {},
|
| 3 |
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"auto_mapping": null,
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| 4 |
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"base_model_name_or_path": "Qwen/Qwen2.5-Coder-1.5B",
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| 5 |
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"bias": "none",
|
| 6 |
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"eva_config": null,
|
| 7 |
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"exclude_modules": null,
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| 8 |
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"fan_in_fan_out": false,
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| 9 |
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"inference_mode": true,
|
| 10 |
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"init_lora_weights": true,
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| 11 |
+
"layer_replication": null,
|
| 12 |
+
"layers_pattern": null,
|
| 13 |
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"layers_to_transform": null,
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| 14 |
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"loftq_config": {},
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| 15 |
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"lora_alpha": 32,
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| 16 |
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"lora_bias": false,
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| 17 |
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"lora_dropout": 0.05,
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| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 16,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"up_proj",
|
| 27 |
+
"k_proj",
|
| 28 |
+
"q_proj",
|
| 29 |
+
"v_proj",
|
| 30 |
+
"o_proj",
|
| 31 |
+
"down_proj",
|
| 32 |
+
"gate_proj"
|
| 33 |
+
],
|
| 34 |
+
"task_type": "CAUSAL_LM",
|
| 35 |
+
"use_dora": false,
|
| 36 |
+
"use_rslora": false
|
| 37 |
+
}
|
adapter_eval_report.json
ADDED
|
@@ -0,0 +1,2677 @@
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| 1 |
+
{
|
| 2 |
+
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| 2677 |
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|
adapter_eval_summary.json
ADDED
|
@@ -0,0 +1,40 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"adapter_dir": "/orangefs/training/sounio/hf-examples/lora-smoke/sounio-qwen15-lora-full200-surgical-repair-20260522T021535/results/adapter",
|
| 3 |
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"cuda_available": true,
|
| 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 |
+
"eval_stdout": "{\n \"check_pass\": 199,\n \"check_pass_contract_clean\": 198,\n \"check_pass_contract_clean_rate_on_predictions\": 0.99,\n \"check_rate\": 0.995,\n \"check_rate_on_predictions\": 0.995,\n \"contract_clean\": 199,\n \"contract_clean_rate_on_predictions\": 0.995,\n \"missing_predictions\": 0,\n \"mode\": \"predictions\",\n \"predictions_found\": 200,\n \"run_expected\": 65,\n \"run_expected_predicted\": 65,\n \"run_pass\": 59,\n \"run_pass_overall_rate\": 0.295,\n \"run_rate\": 0.9076923076923077,\n \"run_rate_on_predicted\": 0.9076923076923077,\n \"total_eval_rows\": 200\n}\n",
|
| 10 |
+
"eval_summary": {
|
| 11 |
+
"check_pass": 199,
|
| 12 |
+
"check_pass_contract_clean": 198,
|
| 13 |
+
"check_pass_contract_clean_rate_on_predictions": 0.99,
|
| 14 |
+
"check_rate": 0.995,
|
| 15 |
+
"contract_clean": 199,
|
| 16 |
+
"contract_clean_rate_on_predictions": 0.995,
|
| 17 |
+
"contract_violation_counts": {
|
| 18 |
+
"rust-python:String": 1
|
| 19 |
+
},
|
| 20 |
+
"predictions_found": 200,
|
| 21 |
+
"run_pass": 59,
|
| 22 |
+
"run_rate_on_predicted": 0.9076923076923077,
|
| 23 |
+
"total_eval_rows": 200
|
| 24 |
+
},
|
| 25 |
+
"max_new_tokens": 512,
|
| 26 |
+
"model": "Qwen/Qwen2.5-Coder-1.5B",
|
| 27 |
+
"output_dir": "/orangefs/training/sounio/hf-examples/lora-smoke/sounio-qwen15-adapter-eval-98plus-20260522T083913/results",
|
| 28 |
+
"prompt_style": "sounio-compact-completion",
|
| 29 |
+
"repair_counts": {
|
| 30 |
+
"effect_repair": 12,
|
| 31 |
+
"fallback_effects_algebra": 1,
|
| 32 |
+
"fallback_gpu_octonion": 1,
|
| 33 |
+
"fallback_humaneval": 3,
|
| 34 |
+
"fallback_reserve": 3,
|
| 35 |
+
"normalised_surface": 2,
|
| 36 |
+
"trimmed": 200
|
| 37 |
+
},
|
| 38 |
+
"repair_generated_effects": true,
|
| 39 |
+
"torch_version": "2.6.0+cu124"
|
| 40 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9d8540e218439bb28026115fbe8d4be5fe18162a0a1c07474d9850579ee36c4a
|
| 3 |
+
size 73911112
|
added_tokens.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
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|
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|
|
|
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|
|
| 1 |
+
{
|
| 2 |
+
"</tool_call>": 151658,
|
| 3 |
+
"<tool_call>": 151657,
|
| 4 |
+
"<|box_end|>": 151649,
|
| 5 |
+
"<|box_start|>": 151648,
|
| 6 |
+
"<|endoftext|>": 151643,
|
| 7 |
+
"<|file_sep|>": 151664,
|
| 8 |
+
"<|fim_middle|>": 151660,
|
| 9 |
+
"<|fim_pad|>": 151662,
|
| 10 |
+
"<|fim_prefix|>": 151659,
|
| 11 |
+
"<|fim_suffix|>": 151661,
|
| 12 |
+
"<|im_end|>": 151645,
|
| 13 |
+
"<|im_start|>": 151644,
|
| 14 |
+
"<|image_pad|>": 151655,
|
| 15 |
+
"<|object_ref_end|>": 151647,
|
| 16 |
+
"<|object_ref_start|>": 151646,
|
| 17 |
+
"<|quad_end|>": 151651,
|
| 18 |
+
"<|quad_start|>": 151650,
|
| 19 |
+
"<|repo_name|>": 151663,
|
| 20 |
+
"<|video_pad|>": 151656,
|
| 21 |
+
"<|vision_end|>": 151653,
|
| 22 |
+
"<|vision_pad|>": 151654,
|
| 23 |
+
"<|vision_start|>": 151652
|
| 24 |
+
}
|
lora_smoke_eval_report.json
ADDED
|
@@ -0,0 +1,2689 @@
|
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|
| 2496 |
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|
| 2497 |
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|
| 2498 |
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|
| 2499 |
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{
|
| 2500 |
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|
| 2501 |
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|
| 2502 |
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|
| 2503 |
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|
| 2504 |
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|
| 2505 |
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|
| 2506 |
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|
| 2507 |
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|
| 2508 |
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| 2509 |
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|
| 2510 |
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|
| 2511 |
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|
| 2512 |
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{
|
| 2513 |
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|
| 2514 |
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|
| 2515 |
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|
| 2516 |
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| 2517 |
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|
| 2518 |
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|
| 2519 |
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|
| 2520 |
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|
| 2521 |
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|
| 2522 |
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|
| 2523 |
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|
| 2524 |
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|
| 2525 |
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|
| 2526 |
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|
| 2527 |
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|
| 2528 |
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|
| 2529 |
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|
| 2530 |
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| 2531 |
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|
| 2532 |
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|
| 2533 |
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|
| 2534 |
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|
| 2535 |
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| 2536 |
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|
| 2537 |
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|
| 2538 |
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|
| 2539 |
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|
| 2540 |
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|
| 2541 |
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|
| 2542 |
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| 2543 |
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| 2544 |
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|
| 2545 |
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|
| 2546 |
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|
| 2547 |
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|
| 2548 |
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|
| 2549 |
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|
| 2550 |
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| 2551 |
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|
| 2552 |
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|
| 2553 |
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|
| 2554 |
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| 2555 |
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| 2556 |
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|
| 2557 |
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|
| 2558 |
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|
| 2559 |
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|
| 2560 |
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|
| 2561 |
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|
| 2562 |
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|
| 2563 |
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| 2564 |
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{
|
| 2565 |
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|
| 2566 |
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|
| 2567 |
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| 2568 |
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| 2569 |
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|
| 2570 |
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|
| 2571 |
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|
| 2572 |
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|
| 2573 |
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|
| 2574 |
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|
| 2575 |
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|
| 2576 |
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|
| 2577 |
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|
| 2578 |
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|
| 2579 |
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|
| 2580 |
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| 2581 |
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| 2582 |
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| 2583 |
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| 2584 |
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| 2585 |
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| 2586 |
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| 2589 |
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| 2590 |
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| 2591 |
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| 2592 |
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|
| 2593 |
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| 2595 |
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| 2596 |
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| 2597 |
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| 2598 |
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| 2599 |
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| 2600 |
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| 2601 |
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| 2602 |
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| 2603 |
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{
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| 2604 |
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| 2605 |
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| 2609 |
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| 2610 |
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| 2611 |
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| 2612 |
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| 2613 |
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|
| 2614 |
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|
| 2615 |
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|
| 2616 |
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{
|
| 2617 |
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|
| 2618 |
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|
| 2619 |
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| 2620 |
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| 2621 |
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|
| 2622 |
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| 2623 |
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|
| 2624 |
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| 2625 |
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|
| 2626 |
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|
| 2627 |
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|
| 2628 |
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|
| 2629 |
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{
|
| 2630 |
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|
| 2631 |
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|
| 2632 |
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|
| 2633 |
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| 2634 |
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|
| 2635 |
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|
| 2636 |
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|
| 2637 |
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|
| 2638 |
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|
| 2639 |
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|
| 2640 |
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|
| 2641 |
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},
|
| 2642 |
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{
|
| 2643 |
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"category": "gpu_octonion",
|
| 2644 |
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|
| 2645 |
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"contract_clean": true,
|
| 2646 |
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"contract_violations": [],
|
| 2647 |
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|
| 2648 |
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"difficulty": "intermediate",
|
| 2649 |
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"has_prediction": true,
|
| 2650 |
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"id": "1265_gpu_octonion_synthetic_0960",
|
| 2651 |
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"run_output_tail": "8\n",
|
| 2652 |
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"run_pass": true,
|
| 2653 |
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"runs_expected": true
|
| 2654 |
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},
|
| 2655 |
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{
|
| 2656 |
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"category": "reserve_advanced",
|
| 2657 |
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|
| 2658 |
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|
| 2659 |
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|
| 2660 |
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|
| 2661 |
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|
| 2662 |
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|
| 2663 |
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|
| 2664 |
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|
| 2665 |
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|
| 2666 |
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|
| 2667 |
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},
|
| 2668 |
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{
|
| 2669 |
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"category": "ffi_interop",
|
| 2670 |
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|
| 2671 |
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|
| 2672 |
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| 2673 |
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|
| 2674 |
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| 2675 |
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|
| 2676 |
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|
| 2677 |
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|
| 2678 |
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|
| 2679 |
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| 2680 |
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}
|
| 2681 |
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],
|
| 2682 |
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|
| 2683 |
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|
| 2684 |
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|
| 2685 |
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|
| 2686 |
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|
| 2687 |
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|
| 2688 |
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"total_eval_rows": 200
|
| 2689 |
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}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"eos_token": {
|
| 18 |
+
"content": "<|endoftext|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
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"single_word": false
|
| 23 |
+
},
|
| 24 |
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"pad_token": {
|
| 25 |
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"content": "<|endoftext|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
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"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
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|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
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| 3 |
+
size 11421896
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tokenizer_config.json
ADDED
|
@@ -0,0 +1,208 @@
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|
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|
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|
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|
|
|
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|
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|
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|
|
|
|
|
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|
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|
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|
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|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
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|
| 9 |
+
"rstrip": false,
|
| 10 |
+
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|
| 11 |
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"special": true
|
| 12 |
+
},
|
| 13 |
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"151644": {
|
| 14 |
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"content": "<|im_start|>",
|
| 15 |
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|
| 16 |
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|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
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|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 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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"special": true
|
| 60 |
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|
| 61 |
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"151650": {
|
| 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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"151651": {
|
| 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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"151656": {
|
| 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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"151659": {
|
| 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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"151660": {
|
| 142 |
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"content": "<|fim_middle|>",
|
| 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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"151661": {
|
| 150 |
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"content": "<|fim_suffix|>",
|
| 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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"151664": {
|
| 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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"<|im_start|>",
|
| 184 |
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"<|im_end|>",
|
| 185 |
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"<|object_ref_start|>",
|
| 186 |
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"<|object_ref_end|>",
|
| 187 |
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"<|box_start|>",
|
| 188 |
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"<|box_end|>",
|
| 189 |
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"<|quad_start|>",
|
| 190 |
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"<|quad_end|>",
|
| 191 |
+
"<|vision_start|>",
|
| 192 |
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"<|vision_end|>",
|
| 193 |
+
"<|vision_pad|>",
|
| 194 |
+
"<|image_pad|>",
|
| 195 |
+
"<|video_pad|>"
|
| 196 |
+
],
|
| 197 |
+
"bos_token": null,
|
| 198 |
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"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
| 199 |
+
"clean_up_tokenization_spaces": false,
|
| 200 |
+
"eos_token": "<|endoftext|>",
|
| 201 |
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"errors": "replace",
|
| 202 |
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"extra_special_tokens": {},
|
| 203 |
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"model_max_length": 32768,
|
| 204 |
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"pad_token": "<|endoftext|>",
|
| 205 |
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"split_special_tokens": false,
|
| 206 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 207 |
+
"unk_token": null
|
| 208 |
+
}
|
train_summary.json
ADDED
|
@@ -0,0 +1,183 @@
|
|
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|
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|
|
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|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
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|
|
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|
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|
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|
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|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
|
|
|
|
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|
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|
|
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|
|
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|
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
|
|
|
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|
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|
|
|
|
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|
|
|
|
|
|
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|
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|
|
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|
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|
|
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|
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|
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|
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|
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|
|
|
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|
|
|
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|
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|
|
|
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|
|
|
|
| 1 |
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{
|
| 2 |
+
"anti_rust_ratio": 0.0,
|
| 3 |
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"anti_rust_rows_used": 0,
|
| 4 |
+
"approx_tokens_per_step": 1242.3971482491088,
|
| 5 |
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"canonical_humaneval_curriculum": true,
|
| 6 |
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"cuda_available": true,
|
| 7 |
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"cuda_device_count": 1,
|
| 8 |
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"duration_seconds": 1889.5225403308868,
|
| 9 |
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"effective_tokens": 5924992,
|
| 10 |
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"eval_category": "all",
|
| 11 |
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"eval_offset": 0,
|
| 12 |
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"eval_rows_generated": 200,
|
| 13 |
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"eval_stdout": "{\n \"check_pass\": 192,\n \"check_pass_contract_clean\": 192,\n \"check_pass_contract_clean_rate_on_predictions\": 0.96,\n \"check_rate\": 0.96,\n \"check_rate_on_predictions\": 0.96,\n \"contract_clean\": 196,\n \"contract_clean_rate_on_predictions\": 0.98,\n \"missing_predictions\": 0,\n \"mode\": \"predictions\",\n \"predictions_found\": 200,\n \"run_expected\": 65,\n \"run_expected_predicted\": 65,\n \"run_pass\": 58,\n \"run_pass_overall_rate\": 0.29,\n \"run_rate\": 0.8923076923076924,\n \"run_rate_on_predicted\": 0.8923076923076924,\n \"total_eval_rows\": 200\n}\n",
|
| 14 |
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"eval_summary": {
|
| 15 |
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"check_pass": 192,
|
| 16 |
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"check_pass_contract_clean": 192,
|
| 17 |
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"check_pass_contract_clean_rate_on_predictions": 0.96,
|
| 18 |
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"check_rate": 0.96,
|
| 19 |
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"check_rate_on_predictions": 0.96,
|
| 20 |
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"contract_clean": 196,
|
| 21 |
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"contract_clean_rate_on_predictions": 0.98,
|
| 22 |
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"contract_violation_counts": {
|
| 23 |
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"rust-python:.to_string()": 2,
|
| 24 |
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"rust-python:String": 3,
|
| 25 |
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"rust-python:Vec<": 1,
|
| 26 |
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"rust-python:vec!": 1
|
| 27 |
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},
|
| 28 |
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"predictions_found": 200,
|
| 29 |
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"run_pass": 58,
|
| 30 |
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"run_rate_on_predicted": 0.8923076923076924,
|
| 31 |
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"total_eval_rows": 200
|
| 32 |
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},
|
| 33 |
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"keep_leading_comments": false,
|
| 34 |
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"loss_delta": -0.9296018360182643,
|
| 35 |
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"loss_first": 0.9428470730781555,
|
| 36 |
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"loss_last": 0.013245237059891224,
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| 37 |
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"losses": [
|
| 38 |
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| 39 |
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|
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|
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|
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|
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|
| 159 |
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"max_steps": 120,
|
| 160 |
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"model": "Qwen/Qwen2.5-Coder-1.5B",
|
| 161 |
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"output_dir": "/orangefs/training/sounio/hf-examples/lora-smoke/sounio-qwen15-lora-full200-surgical-repair-20260522T021535/results",
|
| 162 |
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"prompt_style": "sounio-compact-completion",
|
| 163 |
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"repair_counts": {
|
| 164 |
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"effect_repair": 14,
|
| 165 |
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"fallback_humaneval": 2,
|
| 166 |
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"normalised_surface": 1,
|
| 167 |
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"trimmed": 200
|
| 168 |
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},
|
| 169 |
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"repair_generated_effects": true,
|
| 170 |
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"repair_pair_ratio": 0.2,
|
| 171 |
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"repair_pair_rows_used": 480,
|
| 172 |
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"run_expected_ratio": 0.1,
|
| 173 |
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"run_expected_rows_used": 435,
|
| 174 |
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"runtime_repair_ratio": 0.0,
|
| 175 |
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"runtime_repair_rows_used": 0,
|
| 176 |
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"targeted_runtime_ratio": 0.0,
|
| 177 |
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"targeted_runtime_rows_used": 0,
|
| 178 |
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"torch_version": "2.6.0+cu124",
|
| 179 |
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"train_rows_requested": 4800,
|
| 180 |
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"train_rows_skipped_for_length": 31,
|
| 181 |
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"train_rows_used": 4769,
|
| 182 |
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"train_selection": "humaneval-heavy"
|
| 183 |
+
}
|
vocab.json
ADDED
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|
|