End of training
Browse files- README.md +3 -3
- adapter_config.json +3 -3
- adapter_model.safetensors +1 -1
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
- tmp-checkpoint-33/README.md +204 -0
- tmp-checkpoint-33/adapter_config.json +29 -0
- tmp-checkpoint-33/adapter_model.safetensors +3 -0
- tmp-checkpoint-33/global_step33/mp_rank_00_model_states.pt +3 -0
- tmp-checkpoint-33/special_tokens_map.json +24 -0
- tmp-checkpoint-33/tokenizer.json +0 -0
- tmp-checkpoint-33/tokenizer_config.json +42 -0
- tmp-checkpoint-33/training_args.bin +3 -0
- training_args.bin +1 -1
README.md
CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 1
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- eval_batch_size:
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- seed: 0
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- distributed_type: multi-GPU
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- num_devices: 3
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 12
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- total_eval_batch_size:
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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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- training_steps: 1
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4049
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 0
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- distributed_type: multi-GPU
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- num_devices: 3
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 12
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- total_eval_batch_size: 3
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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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- training_steps: 1
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adapter_config.json
CHANGED
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"revision": null,
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"target_modules": [
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"down_proj",
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"q_proj",
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"v_proj",
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"up_proj",
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"gate_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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"revision": null,
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"target_modules": [
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"down_proj",
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"up_proj",
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"gate_proj",
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"v_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.safetensors
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model-00001-of-00003.safetensors
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model-00002-of-00003.safetensors
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tmp-checkpoint-33/README.md
ADDED
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---
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library_name: peft
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base_model: mistralai/Mistral-7B-v0.1
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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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## 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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### 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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## 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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+
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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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|
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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 0.7.1
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tmp-checkpoint-33/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": "mistralai/Mistral-7B-v0.1",
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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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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0.1,
|
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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": 64,
|
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"rank_pattern": {},
|
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"revision": null,
|
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"target_modules": [
|
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"down_proj",
|
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"q_proj",
|
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"v_proj",
|
25 |
+
"up_proj",
|
26 |
+
"gate_proj"
|
27 |
+
],
|
28 |
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"task_type": "CAUSAL_LM"
|
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+
}
|
tmp-checkpoint-33/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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oid sha256:8bc9d84475493584b2b10170f1170b6b7d73a8be22482e32c22edce415b48b3e
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size 281061608
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tmp-checkpoint-33/global_step33/mp_rank_00_model_states.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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tmp-checkpoint-33/special_tokens_map.json
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@@ -0,0 +1,24 @@
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{
|
2 |
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"bos_token": {
|
3 |
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"content": "<s>",
|
4 |
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"lstrip": false,
|
5 |
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"normalized": false,
|
6 |
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"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
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"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "</s>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
|
19 |
+
"lstrip": false,
|
20 |
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"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
tmp-checkpoint-33/tokenizer.json
ADDED
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|
|
tmp-checkpoint-33/tokenizer_config.json
ADDED
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
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"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"additional_special_tokens": [],
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"clean_up_tokenization_spaces": false,
|
33 |
+
"eos_token": "</s>",
|
34 |
+
"legacy": true,
|
35 |
+
"model_max_length": 1000000000000000019884624838656,
|
36 |
+
"pad_token": "</s>",
|
37 |
+
"sp_model_kwargs": {},
|
38 |
+
"spaces_between_special_tokens": false,
|
39 |
+
"tokenizer_class": "LlamaTokenizer",
|
40 |
+
"unk_token": "<unk>",
|
41 |
+
"use_default_system_prompt": false
|
42 |
+
}
|
tmp-checkpoint-33/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:62a9254f9424d6ed8aeff2636f645b370874f626a656b2e2b79b552c0a30f8ed
|
3 |
+
size 6456
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
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|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 6456
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|
|
1 |
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:c35d9e4cd8006c94ce2e12e2484a87c0a688637fff205ba63a777bcce761624f
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3 |
size 6456
|