Instructions to use iko-01/iko-001 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use iko-01/iko-001 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openai-community/gpt2") model = PeftModel.from_pretrained(base_model, "iko-01/iko-001") - Notebooks
- Google Colab
- Kaggle
Upload fine-tuned GPT-2 on FineWeb (416M tokens) - LoRA adapters + config
Browse files- README.md +209 -3
- adapter_config.json +42 -0
- adapter_model.safetensors +3 -0
- merges.txt +0 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +6 -0
- tokenizer.json +0 -0
- tokenizer_config.json +21 -0
- trainer_state.json +454 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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+
---
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+
base_model: openai-community/gpt2
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library_name: peft
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pipeline_tag: text-generation
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tags:
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- base_model:adapter:openai-community/gpt2
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- lora
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- sft
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- transformers
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- trl
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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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+
## 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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| 29 |
+
- **Shared by [optional]:** [More Information Needed]
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| 30 |
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- **Model type:** [More Information Needed]
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| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
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| 32 |
+
- **License:** [More Information Needed]
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| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
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+
### Model Sources [optional]
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| 36 |
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| 37 |
+
<!-- Provide the basic links for the model. -->
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| 39 |
+
- **Repository:** [More Information Needed]
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| 40 |
+
- **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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| 48 |
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| 49 |
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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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| 50 |
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[More Information Needed]
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| 52 |
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### Downstream Use [optional]
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| 54 |
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| 55 |
+
<!-- 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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| 56 |
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| 57 |
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[More Information Needed]
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| 58 |
+
|
| 59 |
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### Out-of-Scope Use
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| 60 |
+
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| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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| 63 |
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[More Information Needed]
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| 65 |
+
## 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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| 84 |
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| 85 |
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### Training Data
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| 86 |
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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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| 117 |
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| 118 |
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<!-- This should link to a Dataset Card if possible. -->
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| 120 |
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[More Information Needed]
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| 121 |
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| 122 |
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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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| 183 |
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[More Information Needed]
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**APA:**
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| 187 |
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[More Information Needed]
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| 189 |
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## Glossary [optional]
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| 191 |
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|
| 192 |
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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 0.18.1
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adapter_config.json
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{
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"alora_invocation_tokens": null,
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"alpha_pattern": {},
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| 4 |
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"arrow_config": null,
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| 5 |
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"auto_mapping": null,
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| 6 |
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"base_model_name_or_path": "openai-community/gpt2",
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| 7 |
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"bias": "none",
|
| 8 |
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"corda_config": null,
|
| 9 |
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"ensure_weight_tying": false,
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| 10 |
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"eva_config": null,
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| 11 |
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"exclude_modules": null,
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| 12 |
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"fan_in_fan_out": false,
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| 13 |
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"inference_mode": true,
|
| 14 |
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"init_lora_weights": true,
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| 15 |
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"layer_replication": null,
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| 16 |
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"layers_pattern": null,
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| 17 |
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"layers_to_transform": null,
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| 18 |
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"loftq_config": {},
|
| 19 |
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"lora_alpha": 32,
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| 20 |
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"lora_bias": false,
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| 21 |
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"lora_dropout": 0.0,
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| 22 |
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"megatron_config": null,
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| 23 |
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"megatron_core": "megatron.core",
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| 24 |
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"modules_to_save": null,
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| 25 |
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"peft_type": "LORA",
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| 26 |
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"peft_version": "0.18.1",
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| 27 |
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"qalora_group_size": 16,
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| 28 |
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"r": 32,
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| 29 |
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"rank_pattern": {},
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| 30 |
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"revision": null,
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| 31 |
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"target_modules": [
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| 32 |
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"c_fc",
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| 33 |
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"c_proj",
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| 34 |
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"c_attn"
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| 35 |
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],
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| 36 |
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"target_parameters": null,
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| 37 |
+
"task_type": "CAUSAL_LM",
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| 38 |
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"trainable_token_indices": null,
|
| 39 |
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"use_dora": false,
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| 40 |
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"use_qalora": false,
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| 41 |
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"use_rslora": false
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| 42 |
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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:b8172de31d36e29e0d5d88d78093c92691c379a2cbaf41f69c905f3665acff36
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size 18886632
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merges.txt
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:a7db752d5350424dbf572318ea3054082ca1c80568a995dc6d87a20f9c2e1b02
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size 9700619
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:d9f047e65872f4ea46a47ef2ddbdbc3daf8251ae10bf8e560cc44798452f2d88
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size 14645
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:c1ae3778a43ab33194e3eb557cd3e82c54c63f22364e734be5b5c32d5a5037dd
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size 1465
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special_tokens_map.json
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{
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"bos_token": "<|endoftext|>",
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"eos_token": "<|endoftext|>",
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"pad_token": "<|endoftext|>",
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"unk_token": "<|endoftext|>"
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}
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tokenizer.json
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tokenizer_config.json
ADDED
|
@@ -0,0 +1,21 @@
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| 1 |
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{
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| 2 |
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"add_prefix_space": false,
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| 3 |
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"added_tokens_decoder": {
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| 4 |
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"50256": {
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| 5 |
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"content": "<|endoftext|>",
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| 6 |
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"lstrip": false,
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| 7 |
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"normalized": true,
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| 8 |
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"rstrip": false,
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| 9 |
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"single_word": false,
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| 10 |
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"special": true
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| 11 |
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}
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| 12 |
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},
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| 13 |
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"bos_token": "<|endoftext|>",
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| 14 |
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"clean_up_tokenization_spaces": false,
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| 15 |
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"eos_token": "<|endoftext|>",
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"extra_special_tokens": {},
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"model_max_length": 1024,
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| 18 |
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"pad_token": "<|endoftext|>",
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| 19 |
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"tokenizer_class": "GPT2Tokenizer",
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| 20 |
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"unk_token": "<|endoftext|>"
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| 21 |
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trainer_state.json
ADDED
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@@ -0,0 +1,454 @@
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