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TokenBender
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starCoder2_7B_codeFeedback

PEFT
Safetensors
trl
sft
Generated from Trainer
Model card Files
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  1. README.md +61 -0
  2. adapter_config.json +31 -0
  3. adapter_model.safetensors +3 -0
  4. added_tokens.json +4 -0
  5. checkpoint-1386/README.md +202 -0
  6. checkpoint-1386/adapter_config.json +31 -0
  7. checkpoint-1386/adapter_model.safetensors +3 -0
  8. checkpoint-1386/added_tokens.json +4 -0
  9. checkpoint-1386/merges.txt +0 -0
  10. checkpoint-1386/optimizer.pt +3 -0
  11. checkpoint-1386/rng_state.pth +3 -0
  12. checkpoint-1386/scheduler.pt +3 -0
  13. checkpoint-1386/special_tokens_map.json +28 -0
  14. checkpoint-1386/tokenizer.json +0 -0
  15. checkpoint-1386/tokenizer_config.json +338 -0
  16. checkpoint-1386/trainer_state.json +0 -0
  17. checkpoint-1386/training_args.bin +3 -0
  18. checkpoint-1386/vocab.json +0 -0
  19. checkpoint-462/README.md +202 -0
  20. checkpoint-462/adapter_config.json +31 -0
  21. checkpoint-462/adapter_model.safetensors +3 -0
  22. checkpoint-462/added_tokens.json +4 -0
  23. checkpoint-462/merges.txt +0 -0
  24. checkpoint-462/optimizer.pt +3 -0
  25. checkpoint-462/rng_state.pth +3 -0
  26. checkpoint-462/scheduler.pt +3 -0
  27. checkpoint-462/special_tokens_map.json +28 -0
  28. checkpoint-462/tokenizer.json +0 -0
  29. checkpoint-462/tokenizer_config.json +338 -0
  30. checkpoint-462/trainer_state.json +3255 -0
  31. checkpoint-462/training_args.bin +3 -0
  32. checkpoint-462/vocab.json +0 -0
  33. checkpoint-924/README.md +202 -0
  34. checkpoint-924/adapter_config.json +31 -0
  35. checkpoint-924/adapter_model.safetensors +3 -0
  36. checkpoint-924/added_tokens.json +4 -0
  37. checkpoint-924/merges.txt +0 -0
  38. checkpoint-924/optimizer.pt +3 -0
  39. checkpoint-924/rng_state.pth +3 -0
  40. checkpoint-924/scheduler.pt +3 -0
  41. checkpoint-924/special_tokens_map.json +28 -0
  42. checkpoint-924/tokenizer.json +0 -0
  43. checkpoint-924/tokenizer_config.json +338 -0
  44. checkpoint-924/trainer_state.json +0 -0
  45. checkpoint-924/training_args.bin +3 -0
  46. checkpoint-924/vocab.json +0 -0
  47. merges.txt +0 -0
  48. special_tokens_map.json +28 -0
  49. tokenizer.json +0 -0
  50. tokenizer_config.json +338 -0
README.md ADDED
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+ ---
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+ license: bigcode-openrail-m
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+ library_name: peft
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+ tags:
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+ - trl
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+ - sft
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+ - generated_from_trainer
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+ base_model: bigcode/starcoder2-7b
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+ datasets:
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+ - generator
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+ model-index:
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+ - name: starcoder2_15B_codefeedback
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # starcoder2_15B_codefeedback
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+
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+ This model is a fine-tuned version of [bigcode/starcoder2-7b](https://huggingface.co/bigcode/starcoder2-7b) on the generator dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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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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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 32
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.03
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+ - num_epochs: 1
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.7.1
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+ - Transformers 4.39.0.dev0
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+ - Pytorch 2.2.0
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.2
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+ "bias": "none",
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "lora_alpha": 16,
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+ "lora_dropout": 0.05,
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+ "target_modules": [
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+ "q_proj",
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+ "o_proj",
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+ "up_proj",
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+ "down_proj",
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+ "v_proj",
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+ "gate_proj",
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+ "k_proj"
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
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+ ---
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+ library_name: peft
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+ base_model: bigcode/starcoder2-7b
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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
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+
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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 -->
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+
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+ [More Information Needed]
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+
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+ ### Out-of-Scope Use
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+
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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+ [More Information Needed]
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+
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+ ### Recommendations
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+
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+
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+ ## How to Get Started with the Model
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+
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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
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+
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+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+
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+ #### Speeds, Sizes, Times [optional]
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+
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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
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+
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ ### Testing Data, Factors & Metrics
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+
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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]
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+
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+ #### Factors
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+
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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]
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+
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+ #### Summary
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+
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+
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+
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+ ## Model Examination [optional]
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+
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+ <!-- Relevant interpretability work for the model goes here -->
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+
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+ [More Information Needed]
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+
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+ ## 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 -->
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+
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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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+
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+ - **Hardware Type:** [More Information Needed]
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+ - **Hours used:** [More Information Needed]
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+ - **Cloud Provider:** [More Information Needed]
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+ - **Compute Region:** [More Information Needed]
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+ - **Carbon Emitted:** [More Information Needed]
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+
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+ ## Technical Specifications [optional]
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+
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+ ### Model Architecture and Objective
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+
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+ [More Information Needed]
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+
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+ ### Compute Infrastructure
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+
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+ [More Information Needed]
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+
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+ #### Hardware
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+
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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]
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+
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+ <!-- 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]
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+
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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]
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+
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+ <!-- 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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+
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+ [More Information Needed]
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+ ### Framework versions
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+
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+ - PEFT 0.7.1
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1
+ ---
2
+ library_name: peft
3
+ base_model: bigcode/starcoder2-7b
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+ ## Model Details
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+ ### Model Description
15
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+ <!-- Provide a longer summary of what this model is. -->
17
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+ - **Developed by:** [More Information Needed]
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+ - **Repository:** [More Information Needed]
33
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34
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35
+
36
+ ## Uses
37
+
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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. -->
39
+
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+ ### Direct Use
41
+
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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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+ [More Information Needed]
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+ [More Information Needed]
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+ ### Out-of-Scope Use
53
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
59
+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
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+ [More Information Needed]
63
+
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+ ### Recommendations
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+
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+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
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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
79
+
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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
94
+
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+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+
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+ #### Speeds, Sizes, Times [optional]
98
+
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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
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+ ### Testing Data, Factors & Metrics
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+ [More Information Needed]
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+
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+ #### Factors
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+
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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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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+ [More Information Needed]
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+ ### Results
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+
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+ ## Model Examination [optional]
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+ <!-- Relevant interpretability work for the model goes here -->
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+ [More Information Needed]
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+
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+ ## Environmental Impact
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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 -->
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+
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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).
146
+
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+ - **Hardware Type:** [More Information Needed]
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+ ## Technical Specifications [optional]
154
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+ ### Model Architecture and Objective
156
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157
+ [More Information Needed]
158
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159
+ ### Compute Infrastructure
160
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+ [More Information Needed]
162
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+ #### Hardware
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165
+ [More Information Needed]
166
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172
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+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
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+ [More Information Needed]
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+ ## More Information [optional]
190
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191
+ [More Information Needed]
192
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193
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194
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195
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196
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+ ## Model Card Contact
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+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.7.1
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+ ---
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+ library_name: peft
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+ base_model: bigcode/starcoder2-7b
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+ # Model Card for Model ID
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+ ## How to Get Started with the Model
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+ Use the code below to get started with the model.
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+ ### Framework versions
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+ - PEFT 0.7.1
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+ "49152": {
309
+ "content": "<|im_start|>",
310
+ "lstrip": false,
311
+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
315
+ },
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+ "49153": {
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+ "content": "<|im_end|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ }
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+ },
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+ "additional_special_tokens": [
326
+ "<|im_start|>",
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+ "<|im_end|>"
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+ ],
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+ "bos_token": "<|im_start|>",
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+ "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
331
+ "clean_up_tokenization_spaces": true,
332
+ "eos_token": "<|im_end|>",
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+ "model_max_length": 1000000000000000019884624838656,
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+ "pad_token": "<|im_end|>",
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+ "tokenizer_class": "GPT2Tokenizer",
336
+ "unk_token": "<|endoftext|>",
337
+ "vocab_size": 49152
338
+ }