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shawgpt-ft

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  1. README.md +99 -196
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README.md CHANGED
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  ---
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- library_name: transformers
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- tags: []
 
 
 
 
 
 
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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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- ## Model Details
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-
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- ### Model Description
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- <!-- Provide a longer summary of what this model is. -->
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-
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- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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-
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- - **Developed by:** [More Information Needed]
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- - **License:** [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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- <!-- 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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-
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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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-
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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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-
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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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-
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- ## Training Details
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-
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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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-
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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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-
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- #### Preprocessing [optional]
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- [More Information Needed]
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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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- <!-- 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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-
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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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-
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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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- #### Summary
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- ## Model Examination [optional]
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- <!-- Relevant interpretability work for the model goes here -->
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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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-
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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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- ### Compute Infrastructure
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- #### Hardware
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- #### Software
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- ## Citation [optional]
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- ## Glossary [optional]
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- ## More Information [optional]
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- ## Model Card Authors [optional]
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- [More Information Needed]
 
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  ---
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+ base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
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+ library_name: peft
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: shawgpt-ft
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+ results: []
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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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+ # shawgpt-ft
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+
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+ This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.4358
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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: 0.0002
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 64
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 2
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+ - num_epochs: 40
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.6983 | 1.0 | 1 | 3.6528 |
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+ | 3.5663 | 2.0 | 2 | 3.5662 |
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+ | 3.554 | 3.0 | 3 | 3.3946 |
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+ | 3.3511 | 4.0 | 4 | 3.2324 |
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+ | 3.271 | 5.0 | 5 | 3.0797 |
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+ | 3.0504 | 6.0 | 6 | 2.9379 |
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+ | 2.9238 | 7.0 | 7 | 2.8082 |
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+ | 2.7588 | 8.0 | 8 | 2.6900 |
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+ | 2.6477 | 9.0 | 9 | 2.5812 |
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+ | 2.5407 | 10.0 | 10 | 2.4791 |
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+ | 2.4989 | 11.0 | 11 | 2.3837 |
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+ | 2.3429 | 12.0 | 12 | 2.3018 |
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+ | 2.2806 | 13.0 | 13 | 2.2213 |
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+ | 2.1603 | 14.0 | 14 | 2.1381 |
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+ | 2.1297 | 15.0 | 15 | 2.0542 |
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+ | 2.0215 | 16.0 | 16 | 1.9790 |
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+ | 1.9543 | 17.0 | 17 | 1.9113 |
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+ | 1.8405 | 18.0 | 18 | 1.8506 |
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+ | 1.7458 | 19.0 | 19 | 1.7989 |
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+ | 1.6685 | 20.0 | 20 | 1.7535 |
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+ | 1.7441 | 21.0 | 21 | 1.7127 |
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+ | 1.5727 | 22.0 | 22 | 1.6772 |
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+ | 1.6027 | 23.0 | 23 | 1.6452 |
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+ | 1.5803 | 24.0 | 24 | 1.6143 |
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+ | 1.589 | 25.0 | 25 | 1.5838 |
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+ | 1.512 | 26.0 | 26 | 1.5563 |
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+ | 1.4089 | 27.0 | 27 | 1.5346 |
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+ | 1.4374 | 28.0 | 28 | 1.5160 |
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+ | 1.3226 | 29.0 | 29 | 1.4998 |
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+ | 1.3265 | 30.0 | 30 | 1.4862 |
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+ | 1.3214 | 31.0 | 31 | 1.4750 |
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+ | 1.4226 | 32.0 | 32 | 1.4657 |
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+ | 1.4556 | 33.0 | 33 | 1.4583 |
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+ | 1.3064 | 34.0 | 34 | 1.4522 |
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+ | 1.2501 | 35.0 | 35 | 1.4472 |
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+ | 1.3525 | 36.0 | 36 | 1.4432 |
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+ | 1.2416 | 37.0 | 37 | 1.4402 |
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+ | 1.3267 | 38.0 | 38 | 1.4380 |
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+ | 1.2629 | 39.0 | 39 | 1.4365 |
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+ | 1.2634 | 40.0 | 40 | 1.4358 |
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+
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+ ### Framework versions
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+
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+ - PEFT 0.13.2
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+ - Transformers 4.45.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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