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Browse files- LoRA_model/README.md +202 -0
- LoRA_model/adapter_config.json +36 -0
- LoRA_model/adapter_model.safetensors +3 -0
- LoRA_model/optimizer.pt +3 -0
- LoRA_model/rng_state.pth +3 -0
- LoRA_model/scheduler.pt +3 -0
- LoRA_model/special_tokens_map.json +30 -0
- LoRA_model/tokenizer.json +0 -0
- LoRA_model/tokenizer_config.json +44 -0
- LoRA_model/trainer_state.json +2283 -0
- LoRA_model/training_args.bin +3 -0
- app.py +12 -7
- requirements.txt +1 -0
LoRA_model/README.md
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---
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base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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library_name: peft
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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 0.15.1
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LoRA_model/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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"bias": "none",
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"corda_config": null,
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| 7 |
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"eva_config": null,
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| 8 |
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"exclude_modules": null,
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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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| 12 |
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"layer_replication": null,
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"layers_pattern": null,
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| 14 |
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"layers_to_transform": null,
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| 15 |
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"loftq_config": {},
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| 16 |
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"lora_alpha": 16,
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"lora_bias": false,
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| 18 |
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"lora_dropout": 0.1,
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| 19 |
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"megatron_config": null,
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| 20 |
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"megatron_core": "megatron.core",
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| 21 |
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"modules_to_save": null,
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| 22 |
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"peft_type": "LORA",
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| 23 |
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"r": 8,
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| 24 |
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"rank_pattern": {},
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| 25 |
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"revision": null,
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| 26 |
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"target_modules": [
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| 27 |
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"k_proj",
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| 28 |
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"v_proj",
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| 29 |
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"q_proj",
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| 30 |
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"o_proj"
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| 31 |
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],
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| 32 |
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"task_type": "CAUSAL_LM",
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| 33 |
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"trainable_token_indices": null,
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| 34 |
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"use_dora": false,
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"use_rslora": false
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}
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LoRA_model/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e84604d98b6a677f55ca05b22c93254d612b414566abee48fc47c8ba460c97a9
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| 3 |
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size 9034304
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LoRA_model/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:8b81a2972294949815272010b6a86d7bf43fc9acf4fcf54e51c4f513f3dc6248
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size 18165306
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LoRA_model/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:c2ffd2e67a5e106bcbed7941bfeb9076b68a447bab53d273e41d280ee2e05187
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size 13990
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LoRA_model/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:8eadd6817a663d1f9bf7712eda9b171e5dcac162c47465954b243da74701b474
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size 1064
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LoRA_model/special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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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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},
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"eos_token": {
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"content": "</s>",
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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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},
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"pad_token": {
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"content": "</s>",
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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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},
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"unk_token": {
|
| 24 |
+
"content": "<unk>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
LoRA_model/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
LoRA_model/tokenizer_config.json
ADDED
|
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
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|
|
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|
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|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": null,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"0": {
|
| 7 |
+
"content": "<unk>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"1": {
|
| 15 |
+
"content": "<s>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"2": {
|
| 23 |
+
"content": "</s>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
+
"bos_token": "<s>",
|
| 32 |
+
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
| 33 |
+
"clean_up_tokenization_spaces": false,
|
| 34 |
+
"eos_token": "</s>",
|
| 35 |
+
"extra_special_tokens": {},
|
| 36 |
+
"legacy": false,
|
| 37 |
+
"model_max_length": 2048,
|
| 38 |
+
"pad_token": "</s>",
|
| 39 |
+
"padding_side": "right",
|
| 40 |
+
"sp_model_kwargs": {},
|
| 41 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 42 |
+
"unk_token": "<unk>",
|
| 43 |
+
"use_default_system_prompt": false
|
| 44 |
+
}
|
LoRA_model/trainer_state.json
ADDED
|
@@ -0,0 +1,2283 @@
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|
| 2241 |
+
"step": 1240
|
| 2242 |
+
},
|
| 2243 |
+
{
|
| 2244 |
+
"epoch": 1.992,
|
| 2245 |
+
"grad_norm": 1.3061951398849487,
|
| 2246 |
+
"learning_rate": 5.072726584517086e-06,
|
| 2247 |
+
"loss": 0.811,
|
| 2248 |
+
"mean_token_accuracy": 0.7989570170640945,
|
| 2249 |
+
"num_tokens": 1485959.0,
|
| 2250 |
+
"step": 1245
|
| 2251 |
+
},
|
| 2252 |
+
{
|
| 2253 |
+
"epoch": 2.0,
|
| 2254 |
+
"grad_norm": 1.4654656648635864,
|
| 2255 |
+
"learning_rate": 5.000000000000003e-06,
|
| 2256 |
+
"loss": 0.8079,
|
| 2257 |
+
"mean_token_accuracy": 0.7938532695174217,
|
| 2258 |
+
"num_tokens": 1491748.0,
|
| 2259 |
+
"step": 1250
|
| 2260 |
+
}
|
| 2261 |
+
],
|
| 2262 |
+
"logging_steps": 5,
|
| 2263 |
+
"max_steps": 1875,
|
| 2264 |
+
"num_input_tokens_seen": 0,
|
| 2265 |
+
"num_train_epochs": 3,
|
| 2266 |
+
"save_steps": 500,
|
| 2267 |
+
"stateful_callbacks": {
|
| 2268 |
+
"TrainerControl": {
|
| 2269 |
+
"args": {
|
| 2270 |
+
"should_epoch_stop": false,
|
| 2271 |
+
"should_evaluate": false,
|
| 2272 |
+
"should_log": false,
|
| 2273 |
+
"should_save": true,
|
| 2274 |
+
"should_training_stop": false
|
| 2275 |
+
},
|
| 2276 |
+
"attributes": {}
|
| 2277 |
+
}
|
| 2278 |
+
},
|
| 2279 |
+
"total_flos": 1.1030265057337344e+16,
|
| 2280 |
+
"train_batch_size": 2,
|
| 2281 |
+
"trial_name": null,
|
| 2282 |
+
"trial_params": null
|
| 2283 |
+
}
|
LoRA_model/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:509e4017301ac12fd4abee99c872e42138d7dac0ca0270f72c57dceb8f4f67c5
|
| 3 |
+
size 5624
|
app.py
CHANGED
|
@@ -1,13 +1,17 @@
|
|
| 1 |
import gradio as gr
|
| 2 |
import torch
|
|
|
|
| 3 |
from transformers import AutoTokenizer, AutoModelForCausalLM
|
| 4 |
|
| 5 |
# Select device: GPU if available, else CPU
|
| 6 |
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
|
| 7 |
|
| 8 |
# Load tokenizer and model from local directory
|
| 9 |
-
tokenizer = AutoTokenizer.from_pretrained("
|
| 10 |
-
model = AutoModelForCausalLM.from_pretrained("
|
|
|
|
|
|
|
|
|
|
| 11 |
|
| 12 |
|
| 13 |
# Define generation function
|
|
@@ -20,20 +24,21 @@ def generate_sql(prompt):
|
|
| 20 |
temperature=0.7,
|
| 21 |
top_p=0.95,
|
| 22 |
eos_token_id=tokenizer.eos_token_id,
|
| 23 |
-
early_stopping=True
|
|
|
|
| 24 |
)
|
| 25 |
full_output = tokenizer.decode(outputs[0], skip_special_tokens=True)
|
| 26 |
-
return full_output[len(prompt):].strip() # remove prompt from beginning
|
| 27 |
|
| 28 |
|
| 29 |
# Gradio UI
|
| 30 |
interface = gr.Interface(
|
| 31 |
fn=generate_sql,
|
| 32 |
-
inputs=gr.Textbox(lines=3, placeholder="Enter instruction, e.g. 'Show all users with age > 30'"),
|
| 33 |
outputs="text",
|
| 34 |
-
title="
|
| 35 |
description="Type a natural language prompt and get a SQL query generated by the fine-tuned TinyLlama model.",
|
| 36 |
theme="default"
|
| 37 |
)
|
| 38 |
|
| 39 |
-
interface.launch(share=True)
|
|
|
|
| 1 |
import gradio as gr
|
| 2 |
import torch
|
| 3 |
+
from peft import PeftModel
|
| 4 |
from transformers import AutoTokenizer, AutoModelForCausalLM
|
| 5 |
|
| 6 |
# Select device: GPU if available, else CPU
|
| 7 |
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
|
| 8 |
|
| 9 |
# Load tokenizer and model from local directory
|
| 10 |
+
tokenizer = AutoTokenizer.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0")
|
| 11 |
+
model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0").to(device)
|
| 12 |
+
|
| 13 |
+
# Load LoRA adapter
|
| 14 |
+
model = PeftModel.from_pretrained(model, "LoRA_model")
|
| 15 |
|
| 16 |
|
| 17 |
# Define generation function
|
|
|
|
| 24 |
temperature=0.7,
|
| 25 |
top_p=0.95,
|
| 26 |
eos_token_id=tokenizer.eos_token_id,
|
| 27 |
+
early_stopping=True,
|
| 28 |
+
num_beams=5,
|
| 29 |
)
|
| 30 |
full_output = tokenizer.decode(outputs[0], skip_special_tokens=True)
|
| 31 |
+
return full_output[len(prompt):].strip().split(';', 1)[0] + ';' # remove prompt from beginning and only the first SQL statement
|
| 32 |
|
| 33 |
|
| 34 |
# Gradio UI
|
| 35 |
interface = gr.Interface(
|
| 36 |
fn=generate_sql,
|
| 37 |
+
inputs=gr.Textbox(lines=3, placeholder="Enter instruction, e.g. 'Show all users with age > 30' or 'Show all users where gender is female.'"),
|
| 38 |
outputs="text",
|
| 39 |
+
title="SQL Generator",
|
| 40 |
description="Type a natural language prompt and get a SQL query generated by the fine-tuned TinyLlama model.",
|
| 41 |
theme="default"
|
| 42 |
)
|
| 43 |
|
| 44 |
+
interface.launch(share=True)
|
requirements.txt
CHANGED
|
@@ -1,3 +1,4 @@
|
|
| 1 |
transformers
|
| 2 |
torch
|
| 3 |
gradio
|
|
|
|
|
|
| 1 |
transformers
|
| 2 |
torch
|
| 3 |
gradio
|
| 4 |
+
peft
|