Upload 12 files
Browse files- README.md +202 -0
- adapter_config.json +32 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +40 -0
- llm2vec_config.json +6 -0
- merges.txt +0 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +325 -0
- trainer_state.json +2457 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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library_name: peft
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base_model: Salesforce/codegen-350M-mono
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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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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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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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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## Uses
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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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### Direct Use
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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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### Downstream Use [optional]
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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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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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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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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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[More Information Needed]
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## Training Details
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### Training Data
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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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[More Information Needed]
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### Training Procedure
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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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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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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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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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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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[More Information Needed]
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#### Summary
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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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## 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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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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- **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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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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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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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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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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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.10.0
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": {
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"base_model_class": "CodeGenBiModel",
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"parent_library": "llm2vec.models.codegen"
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},
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"base_model_name_or_path": "Salesforce/codegen-350M-mono",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"qkv_proj",
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"out_proj"
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],
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"task_type": null,
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:563714216b7041785e34b2db16afd8ed7f01277b9b2c9e80dab44594bdc9351a
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size 3941712
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added_tokens.json
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{
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"\t\t\t\t\t\t\t\t": 50288,
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"\t\t\t\t\t\t\t\t\t": 50287,
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}
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llm2vec_config.json
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{
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"pooling_mode": "mean",
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"max_length": 512,
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"doc_max_length": 400,
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"skip_instruction": true
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}
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merges.txt
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special_tokens_map.json
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@@ -0,0 +1,24 @@
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| 1 |
+
{
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| 2 |
+
"bos_token": {
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| 3 |
+
"content": "<|endoftext|>",
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| 4 |
+
"lstrip": false,
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| 5 |
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"normalized": false,
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| 6 |
+
"rstrip": false,
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| 7 |
+
"single_word": false
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| 8 |
+
},
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| 9 |
+
"eos_token": {
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| 10 |
+
"content": "<|endoftext|>",
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| 11 |
+
"lstrip": false,
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| 12 |
+
"normalized": false,
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| 13 |
+
"rstrip": false,
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| 14 |
+
"single_word": false
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| 15 |
+
},
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| 16 |
+
"pad_token": "<|endoftext|>",
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| 17 |
+
"unk_token": {
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| 18 |
+
"content": "<|endoftext|>",
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| 19 |
+
"lstrip": false,
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| 20 |
+
"normalized": false,
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| 21 |
+
"rstrip": false,
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| 22 |
+
"single_word": false
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| 23 |
+
}
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| 24 |
+
}
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tokenizer.json
ADDED
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
ADDED
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@@ -0,0 +1,325 @@
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|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"50256": {
|
| 5 |
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"content": "<|endoftext|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
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"normalized": false,
|
| 8 |
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"rstrip": false,
|
| 9 |
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"single_word": false,
|
| 10 |
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"special": true
|
| 11 |
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},
|
| 12 |
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"50257": {
|
| 13 |
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"content": " ",
|
| 14 |
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"lstrip": false,
|
| 15 |
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"normalized": true,
|
| 16 |
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"rstrip": false,
|
| 17 |
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"single_word": false,
|
| 18 |
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"special": false
|
| 19 |
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},
|
| 20 |
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"50258": {
|
| 21 |
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"content": " ",
|
| 22 |
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"lstrip": false,
|
| 23 |
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"normalized": true,
|
| 24 |
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"rstrip": false,
|
| 25 |
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"single_word": false,
|
| 26 |
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"special": false
|
| 27 |
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},
|
| 28 |
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"50259": {
|
| 29 |
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"content": " ",
|
| 30 |
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"lstrip": false,
|
| 31 |
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"normalized": true,
|
| 32 |
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"rstrip": false,
|
| 33 |
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"single_word": false,
|
| 34 |
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"special": false
|
| 35 |
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},
|
| 36 |
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"50260": {
|
| 37 |
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"content": " ",
|
| 38 |
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"lstrip": false,
|
| 39 |
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"normalized": true,
|
| 40 |
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"rstrip": false,
|
| 41 |
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"single_word": false,
|
| 42 |
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"special": false
|
| 43 |
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},
|
| 44 |
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"50261": {
|
| 45 |
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"content": " ",
|
| 46 |
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"lstrip": false,
|
| 47 |
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"normalized": true,
|
| 48 |
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"rstrip": false,
|
| 49 |
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"single_word": false,
|
| 50 |
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"special": false
|
| 51 |
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},
|
| 52 |
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"50262": {
|
| 53 |
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"content": " ",
|
| 54 |
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| 55 |
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"normalized": true,
|
| 56 |
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| 57 |
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| 58 |
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"special": false
|
| 59 |
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| 60 |
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"50263": {
|
| 61 |
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"content": " ",
|
| 62 |
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"lstrip": false,
|
| 63 |
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"normalized": true,
|
| 64 |
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|
| 65 |
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"single_word": false,
|
| 66 |
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"special": false
|
| 67 |
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|
| 68 |
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"50264": {
|
| 69 |
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|
| 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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"50265": {
|
| 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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"single_word": false,
|
| 82 |
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|
| 83 |
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| 84 |
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"50266": {
|
| 85 |
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|
| 86 |
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|
| 87 |
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"normalized": true,
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| 88 |
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|
| 89 |
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"single_word": false,
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| 90 |
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|
| 91 |
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|
| 92 |
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"50267": {
|
| 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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"single_word": false,
|
| 98 |
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"special": false
|
| 99 |
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| 100 |
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"50268": {
|
| 101 |
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"content": " ",
|
| 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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"50269": {
|
| 109 |
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| 110 |
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| 111 |
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| 112 |
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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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"50271": {
|
| 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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"50272": {
|
| 133 |
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|
| 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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|
| 142 |
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|
| 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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| 150 |
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|
| 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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|
| 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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|
| 184 |
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|
| 185 |
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|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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|
| 191 |
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|
| 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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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
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| 201 |
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| 202 |
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| 203 |
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| 204 |
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|
| 205 |
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| 206 |
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|
| 207 |
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|
| 208 |
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| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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|
| 213 |
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|
| 214 |
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|
| 215 |
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|
| 216 |
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|
| 217 |
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|
| 218 |
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|
| 219 |
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|
| 220 |
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|
| 221 |
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|
| 222 |
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|
| 223 |
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|
| 224 |
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|
| 225 |
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|
| 226 |
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|
| 227 |
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|
| 228 |
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|
| 229 |
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|
| 230 |
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|
| 231 |
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|
| 232 |
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|
| 233 |
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|
| 234 |
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|
| 235 |
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|
| 236 |
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|
| 237 |
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|
| 238 |
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|
| 239 |
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|
| 240 |
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|
| 241 |
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|
| 242 |
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|
| 243 |
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|
| 244 |
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|
| 245 |
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|
| 246 |
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|
| 247 |
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|
| 248 |
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|
| 249 |
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"single_word": false,
|
| 250 |
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"special": false
|
| 251 |
+
},
|
| 252 |
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"50287": {
|
| 253 |
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"content": "\t\t\t\t\t\t\t\t\t",
|
| 254 |
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"lstrip": false,
|
| 255 |
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"normalized": true,
|
| 256 |
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|
| 257 |
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|
| 258 |
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|
| 259 |
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},
|
| 260 |
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"50288": {
|
| 261 |
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"content": "\t\t\t\t\t\t\t\t",
|
| 262 |
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"lstrip": false,
|
| 263 |
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"normalized": true,
|
| 264 |
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|
| 265 |
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|
| 266 |
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"special": false
|
| 267 |
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},
|
| 268 |
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"50289": {
|
| 269 |
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"content": "\t\t\t\t\t\t\t",
|
| 270 |
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"lstrip": false,
|
| 271 |
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"normalized": true,
|
| 272 |
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"rstrip": false,
|
| 273 |
+
"single_word": false,
|
| 274 |
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"special": false
|
| 275 |
+
},
|
| 276 |
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"50290": {
|
| 277 |
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"content": "\t\t\t\t\t\t",
|
| 278 |
+
"lstrip": false,
|
| 279 |
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"normalized": true,
|
| 280 |
+
"rstrip": false,
|
| 281 |
+
"single_word": false,
|
| 282 |
+
"special": false
|
| 283 |
+
},
|
| 284 |
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"50291": {
|
| 285 |
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"content": "\t\t\t\t\t",
|
| 286 |
+
"lstrip": false,
|
| 287 |
+
"normalized": true,
|
| 288 |
+
"rstrip": false,
|
| 289 |
+
"single_word": false,
|
| 290 |
+
"special": false
|
| 291 |
+
},
|
| 292 |
+
"50292": {
|
| 293 |
+
"content": "\t\t\t\t",
|
| 294 |
+
"lstrip": false,
|
| 295 |
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"normalized": true,
|
| 296 |
+
"rstrip": false,
|
| 297 |
+
"single_word": false,
|
| 298 |
+
"special": false
|
| 299 |
+
},
|
| 300 |
+
"50293": {
|
| 301 |
+
"content": "\t\t\t",
|
| 302 |
+
"lstrip": false,
|
| 303 |
+
"normalized": true,
|
| 304 |
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"rstrip": false,
|
| 305 |
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"single_word": false,
|
| 306 |
+
"special": false
|
| 307 |
+
},
|
| 308 |
+
"50294": {
|
| 309 |
+
"content": "\t\t",
|
| 310 |
+
"lstrip": false,
|
| 311 |
+
"normalized": true,
|
| 312 |
+
"rstrip": false,
|
| 313 |
+
"single_word": false,
|
| 314 |
+
"special": false
|
| 315 |
+
}
|
| 316 |
+
},
|
| 317 |
+
"bos_token": "<|endoftext|>",
|
| 318 |
+
"clean_up_tokenization_spaces": true,
|
| 319 |
+
"eos_token": "<|endoftext|>",
|
| 320 |
+
"model_max_length": 2048,
|
| 321 |
+
"pad_token": "<|endoftext|>",
|
| 322 |
+
"return_token_type_ids": false,
|
| 323 |
+
"tokenizer_class": "CodeGenTokenizer",
|
| 324 |
+
"unk_token": "<|endoftext|>"
|
| 325 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,2457 @@
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