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  1. .gitattributes +2 -0
  2. README.md +7 -7
  3. adapter_config.json +3 -6
  4. adapter_model.safetensors +2 -2
  5. checkpoint-600/README.md +209 -0
  6. checkpoint-600/adapter_config.json +39 -0
  7. checkpoint-600/adapter_model.safetensors +3 -0
  8. checkpoint-600/added_tokens.json +24 -0
  9. checkpoint-600/chat_template.jinja +54 -0
  10. checkpoint-600/merges.txt +0 -0
  11. checkpoint-600/optimizer.pt +3 -0
  12. checkpoint-600/rng_state_0.pth +3 -0
  13. checkpoint-600/rng_state_1.pth +3 -0
  14. checkpoint-600/rng_state_2.pth +3 -0
  15. checkpoint-600/rng_state_3.pth +3 -0
  16. checkpoint-600/scheduler.pt +3 -0
  17. checkpoint-600/special_tokens_map.json +31 -0
  18. checkpoint-600/tokenizer.json +3 -0
  19. checkpoint-600/tokenizer_config.json +207 -0
  20. checkpoint-600/trainer_state.json +700 -0
  21. checkpoint-600/training_args.bin +3 -0
  22. checkpoint-600/vocab.json +0 -0
  23. checkpoint-681/README.md +209 -0
  24. checkpoint-681/adapter_config.json +39 -0
  25. checkpoint-681/adapter_model.safetensors +3 -0
  26. checkpoint-681/added_tokens.json +24 -0
  27. checkpoint-681/chat_template.jinja +54 -0
  28. checkpoint-681/merges.txt +0 -0
  29. checkpoint-681/optimizer.pt +3 -0
  30. checkpoint-681/rng_state_0.pth +3 -0
  31. checkpoint-681/rng_state_1.pth +3 -0
  32. checkpoint-681/rng_state_2.pth +3 -0
  33. checkpoint-681/rng_state_3.pth +3 -0
  34. checkpoint-681/scheduler.pt +3 -0
  35. checkpoint-681/special_tokens_map.json +31 -0
  36. checkpoint-681/tokenizer.json +3 -0
  37. checkpoint-681/tokenizer_config.json +207 -0
  38. checkpoint-681/trainer_state.json +780 -0
  39. checkpoint-681/training_args.bin +3 -0
  40. checkpoint-681/vocab.json +0 -0
  41. special_tokens_map.json +7 -1
  42. tokenizer_config.json +1 -1
  43. training_args.bin +2 -2
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@@ -37,3 +37,5 @@ checkpoint-500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  checkpoint-585/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  checkpoint-585/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md CHANGED
@@ -1,7 +1,7 @@
1
  ---
2
  base_model: Qwen/Qwen2.5-Coder-0.5B-Instruct
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  library_name: peft
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- model_name: finetuned_model
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  tags:
6
  - base_model:adapter:Qwen/Qwen2.5-Coder-0.5B-Instruct
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  - lora
@@ -12,7 +12,7 @@ licence: license
12
  pipeline_tag: text-generation
13
  ---
14
 
15
- # Model Card for finetuned_model
16
 
17
  This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-0.5B-Instruct).
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  It has been trained using [TRL](https://github.com/huggingface/trl).
@@ -30,7 +30,7 @@ print(output["generated_text"])
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  ## Training procedure
32
 
33
- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/codeconflict/huggingface/runs/7yeai7j2)
34
 
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  This model was trained with SFT.
@@ -38,10 +38,10 @@ This model was trained with SFT.
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  ### Framework versions
39
 
40
  - PEFT 0.17.1
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- - TRL: 0.23.1
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- - Transformers: 4.57.0
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- - Pytorch: 2.8.0
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- - Datasets: 4.1.1
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  - Tokenizers: 0.22.1
46
 
47
  ## Citations
 
1
  ---
2
  base_model: Qwen/Qwen2.5-Coder-0.5B-Instruct
3
  library_name: peft
4
+ model_name: output
5
  tags:
6
  - base_model:adapter:Qwen/Qwen2.5-Coder-0.5B-Instruct
7
  - lora
 
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  pipeline_tag: text-generation
13
  ---
14
 
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+ # Model Card for output
16
 
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  This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-0.5B-Instruct).
18
  It has been trained using [TRL](https://github.com/huggingface/trl).
 
30
 
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  ## Training procedure
32
 
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/codeconflict/merge-solver-sft/runs/1q6w5f9r)
34
 
35
 
36
  This model was trained with SFT.
 
38
  ### Framework versions
39
 
40
  - PEFT 0.17.1
41
+ - TRL: 0.24.0
42
+ - Transformers: 4.57.1
43
+ - Pytorch: 2.9.0
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+ - Datasets: 4.2.0
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  - Tokenizers: 0.22.1
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  ## Citations
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1
+ ---
2
+ base_model: Qwen/Qwen2.5-Coder-0.5B-Instruct
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:Qwen/Qwen2.5-Coder-0.5B-Instruct
7
+ - lora
8
+ - sft
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+ - transformers
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+ - trl
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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+
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+
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+ - **Developed by:** [More Information Needed]
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+ - **Funded by [optional]:** [More Information Needed]
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+ - **Shared by [optional]:** [More Information Needed]
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+ - **Model type:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]
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+ - **License:** [More Information Needed]
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+ - **Finetuned from model [optional]:** [More Information Needed]
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+
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+ ### Model Sources [optional]
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+
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+ <!-- Provide the basic links for the model. -->
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+
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+ - **Repository:** [More Information Needed]
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+ - **Paper [optional]:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
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+
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+ ## Uses
44
+
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+
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+ ### Direct Use
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+
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+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
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+
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+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
56
+
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+ [More Information Needed]
58
+
59
+ ### Out-of-Scope Use
60
+
61
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
62
+
63
+ [More Information Needed]
64
+
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+ ## Bias, Risks, and Limitations
66
+
67
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
68
+
69
+ [More Information Needed]
70
+
71
+ ### Recommendations
72
+
73
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
74
+
75
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
76
+
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+ ## How to Get Started with the Model
78
+
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+ Use the code below to get started with the model.
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+
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+ [More Information Needed]
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+
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+ ## Training Details
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+
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+ ### Training Data
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+
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+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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+
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+ [More Information Needed]
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+
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+ ### Training Procedure
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+
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+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+
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+ #### Preprocessing [optional]
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+
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+ [More Information Needed]
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+
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+
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+ #### Training Hyperparameters
101
+
102
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
103
+
104
+ #### Speeds, Sizes, Times [optional]
105
+
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+
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+ [More Information Needed]
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+
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+ ## Evaluation
111
+
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+ <!-- This section describes the evaluation protocols and provides the results. -->
113
+
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+ ### Testing Data, Factors & Metrics
115
+
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+ #### Testing Data
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+
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+ <!-- This should link to a Dataset Card if possible. -->
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+
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+ [More Information Needed]
121
+
122
+ #### Factors
123
+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
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+ [More Information Needed]
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+
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+ #### Metrics
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+
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+
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+ [More Information Needed]
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+
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+ ### Results
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+
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+ [More Information Needed]
137
+
138
+ #### Summary
139
+
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+
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+
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+ ## Model Examination [optional]
143
+
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+ <!-- Relevant interpretability work for the model goes here -->
145
+
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+ [More Information Needed]
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+
148
+ ## Environmental Impact
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+
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+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
151
+
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+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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+
154
+ - **Hardware Type:** [More Information Needed]
155
+ - **Hours used:** [More Information Needed]
156
+ - **Cloud Provider:** [More Information Needed]
157
+ - **Compute Region:** [More Information Needed]
158
+ - **Carbon Emitted:** [More Information Needed]
159
+
160
+ ## Technical Specifications [optional]
161
+
162
+ ### Model Architecture and Objective
163
+
164
+ [More Information Needed]
165
+
166
+ ### Compute Infrastructure
167
+
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+ [More Information Needed]
169
+
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+ #### Hardware
171
+
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+ [More Information Needed]
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+
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+ #### Software
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+
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+ [More Information Needed]
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+
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+ ## Citation [optional]
179
+
180
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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+
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+ **BibTeX:**
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+
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+ [More Information Needed]
185
+
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+ **APA:**
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+
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+ [More Information Needed]
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+
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+ ## Glossary [optional]
191
+
192
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+
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+ [More Information Needed]
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+
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+ ## More Information [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Authors [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Contact
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+
206
+ [More Information Needed]
207
+ ### Framework versions
208
+
209
+ - PEFT 0.17.1
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+ {%- if tools %}
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+ ---
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+ base_model: Qwen/Qwen2.5-Coder-0.5B-Instruct
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+ pipeline_tag: text-generation
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+ tags:
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+ - base_model:adapter:Qwen/Qwen2.5-Coder-0.5B-Instruct
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+ - lora
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+ - sft
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+ - transformers
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+ - trl
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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+
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+
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+ - **Developed by:** [More Information Needed]
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+ - **Funded by [optional]:** [More Information Needed]
29
+ - **Shared by [optional]:** [More Information Needed]
30
+ - **Model type:** [More Information Needed]
31
+ - **Language(s) (NLP):** [More Information Needed]
32
+ - **License:** [More Information Needed]
33
+ - **Finetuned from model [optional]:** [More Information Needed]
34
+
35
+ ### Model Sources [optional]
36
+
37
+ <!-- Provide the basic links for the model. -->
38
+
39
+ - **Repository:** [More Information Needed]
40
+ - **Paper [optional]:** [More Information Needed]
41
+ - **Demo [optional]:** [More Information Needed]
42
+
43
+ ## Uses
44
+
45
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
46
+
47
+ ### Direct Use
48
+
49
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
50
+
51
+ [More Information Needed]
52
+
53
+ ### Downstream Use [optional]
54
+
55
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
56
+
57
+ [More Information Needed]
58
+
59
+ ### Out-of-Scope Use
60
+
61
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
62
+
63
+ [More Information Needed]
64
+
65
+ ## Bias, Risks, and Limitations
66
+
67
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
68
+
69
+ [More Information Needed]
70
+
71
+ ### Recommendations
72
+
73
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
74
+
75
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
76
+
77
+ ## How to Get Started with the Model
78
+
79
+ Use the code below to get started with the model.
80
+
81
+ [More Information Needed]
82
+
83
+ ## Training Details
84
+
85
+ ### Training Data
86
+
87
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
88
+
89
+ [More Information Needed]
90
+
91
+ ### Training Procedure
92
+
93
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
94
+
95
+ #### Preprocessing [optional]
96
+
97
+ [More Information Needed]
98
+
99
+
100
+ #### Training Hyperparameters
101
+
102
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
103
+
104
+ #### Speeds, Sizes, Times [optional]
105
+
106
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
107
+
108
+ [More Information Needed]
109
+
110
+ ## Evaluation
111
+
112
+ <!-- This section describes the evaluation protocols and provides the results. -->
113
+
114
+ ### Testing Data, Factors & Metrics
115
+
116
+ #### Testing Data
117
+
118
+ <!-- This should link to a Dataset Card if possible. -->
119
+
120
+ [More Information Needed]
121
+
122
+ #### Factors
123
+
124
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
125
+
126
+ [More Information Needed]
127
+
128
+ #### Metrics
129
+
130
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
131
+
132
+ [More Information Needed]
133
+
134
+ ### Results
135
+
136
+ [More Information Needed]
137
+
138
+ #### Summary
139
+
140
+
141
+
142
+ ## Model Examination [optional]
143
+
144
+ <!-- Relevant interpretability work for the model goes here -->
145
+
146
+ [More Information Needed]
147
+
148
+ ## Environmental Impact
149
+
150
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
151
+
152
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
153
+
154
+ - **Hardware Type:** [More Information Needed]
155
+ - **Hours used:** [More Information Needed]
156
+ - **Cloud Provider:** [More Information Needed]
157
+ - **Compute Region:** [More Information Needed]
158
+ - **Carbon Emitted:** [More Information Needed]
159
+
160
+ ## Technical Specifications [optional]
161
+
162
+ ### Model Architecture and Objective
163
+
164
+ [More Information Needed]
165
+
166
+ ### Compute Infrastructure
167
+
168
+ [More Information Needed]
169
+
170
+ #### Hardware
171
+
172
+ [More Information Needed]
173
+
174
+ #### Software
175
+
176
+ [More Information Needed]
177
+
178
+ ## Citation [optional]
179
+
180
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
181
+
182
+ **BibTeX:**
183
+
184
+ [More Information Needed]
185
+
186
+ **APA:**
187
+
188
+ [More Information Needed]
189
+
190
+ ## Glossary [optional]
191
+
192
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
193
+
194
+ [More Information Needed]
195
+
196
+ ## More Information [optional]
197
+
198
+ [More Information Needed]
199
+
200
+ ## Model Card Authors [optional]
201
+
202
+ [More Information Needed]
203
+
204
+ ## Model Card Contact
205
+
206
+ [More Information Needed]
207
+ ### Framework versions
208
+
209
+ - PEFT 0.17.1
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