Commit
•
dc14b5c
1
Parent(s):
bee738c
Training in progress, step 236, checkpoint
Browse files- checkpoint-236/README.md +202 -0
- checkpoint-236/adapter_config.json +34 -0
- checkpoint-236/adapter_model.safetensors +3 -0
- checkpoint-236/optimizer.pt +3 -0
- checkpoint-236/rng_state.pth +3 -0
- checkpoint-236/scheduler.pt +3 -0
- checkpoint-236/special_tokens_map.json +30 -0
- checkpoint-236/tokenizer.json +0 -0
- checkpoint-236/tokenizer_config.json +0 -0
- checkpoint-236/trainer_state.json +1701 -0
- checkpoint-236/training_args.bin +3 -0
checkpoint-236/README.md
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| 1 |
+
---
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base_model: unsloth/Mistral-Nemo-Base-2407
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library_name: peft
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---
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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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| 9 |
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+
## Model Details
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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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| 17 |
+
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| 18 |
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+
- **Developed by:** [More Information Needed]
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+
- **Funded by [optional]:** [More Information Needed]
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| 22 |
+
- **Shared by [optional]:** [More Information Needed]
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| 23 |
+
- **Model type:** [More Information Needed]
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| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
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| 25 |
+
- **License:** [More Information Needed]
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| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
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| 27 |
+
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+
### Model Sources [optional]
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| 29 |
+
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| 30 |
+
<!-- Provide the basic links for the model. -->
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| 31 |
+
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| 32 |
+
- **Repository:** [More Information Needed]
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| 33 |
+
- **Paper [optional]:** [More Information Needed]
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+
- **Demo [optional]:** [More Information Needed]
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| 35 |
+
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| 36 |
+
## Uses
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| 37 |
+
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+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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| 39 |
+
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+
### Direct Use
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| 41 |
+
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+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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| 45 |
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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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| 51 |
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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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| 146 |
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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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| 150 |
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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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| 154 |
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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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| 184 |
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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 0.12.0
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checkpoint-236/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": "unsloth/Mistral-Nemo-Base-2407",
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"bias": "none",
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"fan_in_fan_out": null,
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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": 0.125,
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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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"q_proj",
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"down_proj",
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"v_proj",
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"gate_proj",
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"o_proj",
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"up_proj",
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"k_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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checkpoint-236/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:edc1d90a786444a935abf3d1b4329313adf9c7def226c87a283daaecb61511c0
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size 912336848
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checkpoint-236/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:ec3cde6b475cb786a789e2f3ec85ca0f3ff5e7435d28b29bc40122d87b048b08
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size 457689812
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checkpoint-236/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:0c0ae7008826c26f6e03a2dbd9b8178cff1e1e00235c606e50c53acdd201617c
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size 14244
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checkpoint-236/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:433d294d69c754c61b49a84358ed440faf6f0c84335858e5119c485dde2fea53
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size 1064
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checkpoint-236/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": "<pad>",
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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": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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| 28 |
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"single_word": false
|
| 29 |
+
}
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| 30 |
+
}
|
checkpoint-236/tokenizer.json
ADDED
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checkpoint-236/tokenizer_config.json
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checkpoint-236/trainer_state.json
ADDED
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@@ -0,0 +1,1701 @@
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| 1 |
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