Text Generation
PEFT
Safetensors
code
code-review
bug-fixing
qwen
qwen2.5-coder
qlora
trl
static-analysis
conversational
Eval Results (legacy)
Instructions to use devanshty/Code-Autopsy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use devanshty/Code-Autopsy with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B-Instruct") model = PeftModel.from_pretrained(base_model, "devanshty/Code-Autopsy") - Notebooks
- Google Colab
- Kaggle
Upload training_log.json with huggingface_hub
Browse files- training_log.json +667 -0
training_log.json
ADDED
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|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 246,
|
| 3 |
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"best_metric": 0.244215190410614,
|
| 4 |
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"best_model_checkpoint": "C:\\Users\\Devansh Tyagi\\Desktop\\Projects\\Code-Autopsy\\checkpoints\\checkpoint-246",
|
| 5 |
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"epoch": 3.0,
|
| 6 |
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"eval_steps": 20,
|
| 7 |
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"global_step": 246,
|
| 8 |
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"is_hyper_param_search": false,
|
| 9 |
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"is_local_process_zero": true,
|
| 10 |
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"is_world_process_zero": true,
|
| 11 |
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"log_history": [
|
| 12 |
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{
|
| 13 |
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"entropy": 1.2720158830285073,
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| 14 |
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| 15 |
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| 16 |
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"learning_rate": 6.153846153846155e-05,
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| 17 |
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"loss": 2.1623348236083983,
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"mean_token_accuracy": 0.6029356420040131,
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| 19 |
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"num_tokens": 7832.0,
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| 20 |
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"step": 5
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| 21 |
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},
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| 22 |
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{
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| 23 |
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| 24 |
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| 27 |
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| 31 |
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| 32 |
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{
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| 33 |
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| 34 |
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| 35 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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{
|
| 43 |
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| 44 |
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| 45 |
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| 50 |
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| 51 |
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| 52 |
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{
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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|
| 57 |
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"eval_num_tokens": 30047.0,
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| 58 |
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"eval_runtime": 98.8045,
|
| 59 |
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|
| 60 |
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| 61 |
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"step": 20
|
| 62 |
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|
| 63 |
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{
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| 64 |
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| 65 |
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| 72 |
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| 73 |
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{
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| 74 |
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| 75 |
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