Image-to-Text
PEFT
Safetensors
code-generation
multimodal
vision-encoder-decoder
lora
swin
qwen2.5-coder
code-trainer-v6
Instructions to use cmndcntrlcyber/code-trainer-vision-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cmndcntrlcyber/code-trainer-vision-adapter with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Phase 3 eval: baseline + finetuned metrics
Browse files- eval/baseline.json +2 -2
- eval/summary.json +2 -2
eval/baseline.json
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@@ -1,8 +1,8 @@
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{
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"exact_match": 0.0,
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"bleu_4": 0.0,
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"mean_edit_similarity": 0.
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"num_samples": 200,
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"syntax_valid_rate": 0.
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"run_name": "baseline"
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}
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{
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"exact_match": 0.0,
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"bleu_4": 0.0,
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+
"mean_edit_similarity": 0.04701831394975743,
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"num_samples": 200,
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"syntax_valid_rate": 0.225,
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"run_name": "baseline"
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}
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eval/summary.json
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@@ -6,9 +6,9 @@
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"baseline": {
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"exact_match": 0.0,
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"bleu_4": 0.0,
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-
"mean_edit_similarity": 0.
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"num_samples": 200,
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"syntax_valid_rate": 0.
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"run_name": "baseline"
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},
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"finetuned": {
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"baseline": {
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"exact_match": 0.0,
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"bleu_4": 0.0,
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+
"mean_edit_similarity": 0.04701831394975743,
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"num_samples": 200,
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+
"syntax_valid_rate": 0.225,
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"run_name": "baseline"
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},
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"finetuned": {
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