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Browse files- checkpoint-300/README.md +202 -0
- checkpoint-300/adapter_config.json +37 -0
- checkpoint-300/adapter_model.safetensors +3 -0
- checkpoint-300/merges.txt +0 -0
- checkpoint-300/optimizer.pt +3 -0
- checkpoint-300/rng_state.pth +3 -0
- checkpoint-300/scheduler.pt +3 -0
- checkpoint-300/special_tokens_map.json +30 -0
- checkpoint-300/tokenizer.json +0 -0
- checkpoint-300/tokenizer_config.json +791 -0
- checkpoint-300/trainer_state.json +2157 -0
- checkpoint-300/training_args.bin +3 -0
- checkpoint-300/vocab.json +0 -0
- checkpoint-318/README.md +202 -0
- checkpoint-318/adapter_config.json +37 -0
- checkpoint-318/adapter_model.safetensors +3 -0
- checkpoint-318/merges.txt +0 -0
- checkpoint-318/optimizer.pt +3 -0
- checkpoint-318/rng_state.pth +3 -0
- checkpoint-318/scheduler.pt +3 -0
- checkpoint-318/special_tokens_map.json +30 -0
- checkpoint-318/tokenizer.json +0 -0
- checkpoint-318/tokenizer_config.json +791 -0
- checkpoint-318/trainer_state.json +2283 -0
- checkpoint-318/training_args.bin +3 -0
- checkpoint-318/vocab.json +0 -0
- config.json +34 -0
- generation_config.json +8 -0
- merges.txt +0 -0
- model-00001-of-00006.safetensors +3 -0
- model-00002-of-00006.safetensors +3 -0
- model-00003-of-00006.safetensors +3 -0
- model-00004-of-00006.safetensors +3 -0
- model-00005-of-00006.safetensors +3 -0
- model-00006-of-00006.safetensors +3 -0
- model.safetensors.index.json +370 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +791 -0
- vocab.json +0 -0
checkpoint-300/README.md
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---
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base_model: unsloth/phi-4-unsloth-bnb-4bit
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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 0.14.0
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checkpoint-300/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/phi-4-unsloth-bnb-4bit",
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"bias": "none",
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"eva_config": null,
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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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"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": 16,
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"lora_bias": false,
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"lora_dropout": 0,
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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": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"gate_proj",
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"down_proj",
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"q_proj",
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"up_proj",
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"v_proj",
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"o_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-300/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b77e5bc4cf683732b9ef5cc90dc1640a0bf3719cfae3fcbddfc9a6ca4fbbe55c
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size 262219392
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checkpoint-300/merges.txt
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checkpoint-300/optimizer.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:c03ee32f43be613c52e6a94b0ff968ae58a941c1fe73f0644d6d511c93d7caa2
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size 133778516
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checkpoint-300/rng_state.pth
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:fd55c3b412ed63dda63d944e5148e12c72c1382a50017bf4d626548cc6ff19a6
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size 14244
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checkpoint-300/scheduler.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:ac3679f3f7c7a8bc531d82f07028479b6652ee99d757c0486fdd296b767f9de5
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size 1064
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checkpoint-300/special_tokens_map.json
ADDED
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{
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"bos_token": {
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"content": "<|endoftext|>",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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"single_word": false
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},
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"eos_token": {
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"content": "<|im_end|>",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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"single_word": false
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},
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"pad_token": {
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"content": "<|dummy_87|>",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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"single_word": false
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},
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"unk_token": {
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"content": "�",
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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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}
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checkpoint-300/tokenizer.json
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checkpoint-300/tokenizer_config.json
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|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"5809": {
|
5 |
+
"content": "�",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"100256": {
|
13 |
+
"content": "<|dummy_0|>",
|
14 |
+
"lstrip": true,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": true,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"100257": {
|
21 |
+
"content": "<|endoftext|>",
|
22 |
+
"lstrip": true,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": true,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
},
|
28 |
+
"100258": {
|
29 |
+
"content": "<|fim_prefix|>",
|
30 |
+
"lstrip": true,
|
31 |
+
"normalized": false,
|
32 |
+
"rstrip": true,
|
33 |
+
"single_word": false,
|
34 |
+
"special": true
|
35 |
+
},
|
36 |
+
"100259": {
|
37 |
+
"content": "<|fim_middle|>",
|
38 |
+
"lstrip": true,
|
39 |
+
"normalized": false,
|
40 |
+
"rstrip": true,
|
41 |
+
"single_word": false,
|
42 |
+
"special": true
|
43 |
+
},
|
44 |
+
"100260": {
|
45 |
+
"content": "<|fim_suffix|>",
|
46 |
+
"lstrip": true,
|
47 |
+
"normalized": false,
|
48 |
+
"rstrip": true,
|
49 |
+
"single_word": false,
|
50 |
+
"special": true
|
51 |
+
},
|
52 |
+
"100261": {
|
53 |
+
"content": "<|dummy_1|>",
|
54 |
+
"lstrip": true,
|
55 |
+
"normalized": false,
|
56 |
+
"rstrip": true,
|
57 |
+
"single_word": false,
|
58 |
+
"special": true
|
59 |
+
},
|
60 |
+
"100262": {
|
61 |
+
"content": "<|dummy_2|>",
|
62 |
+
"lstrip": true,
|
63 |
+
"normalized": false,
|
64 |
+
"rstrip": true,
|
65 |
+
"single_word": false,
|
66 |
+
"special": true
|
67 |
+
},
|
68 |
+
"100263": {
|
69 |
+
"content": "<|dummy_3|>",
|
70 |
+
"lstrip": true,
|
71 |
+
"normalized": false,
|
72 |
+
"rstrip": true,
|
73 |
+
"single_word": false,
|
74 |
+
"special": true
|
75 |
+
},
|
76 |
+
"100264": {
|
77 |
+
"content": "<|im_start|>",
|
78 |
+
"lstrip": true,
|
79 |
+
"normalized": false,
|
80 |
+
"rstrip": true,
|
81 |
+
"single_word": false,
|
82 |
+
"special": true
|
83 |
+
},
|
84 |
+
"100265": {
|
85 |
+
"content": "<|im_end|>",
|
86 |
+
"lstrip": true,
|
87 |
+
"normalized": false,
|
88 |
+
"rstrip": true,
|
89 |
+
"single_word": false,
|
90 |
+
"special": true
|
91 |
+
},
|
92 |
+
"100266": {
|
93 |
+
"content": "<|im_sep|>",
|
94 |
+
"lstrip": true,
|
95 |
+
"normalized": false,
|
96 |
+
"rstrip": true,
|
97 |
+
"single_word": false,
|
98 |
+
"special": true
|
99 |
+
},
|
100 |
+
"100267": {
|
101 |
+
"content": "<|dummy_4|>",
|
102 |
+
"lstrip": true,
|
103 |
+
"normalized": false,
|
104 |
+
"rstrip": true,
|
105 |
+
"single_word": false,
|
106 |
+
"special": true
|
107 |
+
},
|
108 |
+
"100268": {
|
109 |
+
"content": "<|dummy_5|>",
|
110 |
+
"lstrip": true,
|
111 |
+
"normalized": false,
|
112 |
+
"rstrip": true,
|
113 |
+
"single_word": false,
|
114 |
+
"special": true
|
115 |
+
},
|
116 |
+
"100269": {
|
117 |
+
"content": "<|dummy_6|>",
|
118 |
+
"lstrip": true,
|
119 |
+
"normalized": false,
|
120 |
+
"rstrip": true,
|
121 |
+
"single_word": false,
|
122 |
+
"special": true
|
123 |
+
},
|
124 |
+
"100270": {
|
125 |
+
"content": "<|dummy_7|>",
|
126 |
+
"lstrip": true,
|
127 |
+
"normalized": false,
|
128 |
+
"rstrip": true,
|
129 |
+
"single_word": false,
|
130 |
+
"special": true
|
131 |
+
},
|
132 |
+
"100271": {
|
133 |
+
"content": "<|dummy_8|>",
|
134 |
+
"lstrip": true,
|
135 |
+
"normalized": false,
|
136 |
+
"rstrip": true,
|
137 |
+
"single_word": false,
|
138 |
+
"special": true
|
139 |
+
},
|
140 |
+
"100272": {
|
141 |
+
"content": "<|dummy_9|>",
|
142 |
+
"lstrip": true,
|
143 |
+
"normalized": false,
|
144 |
+
"rstrip": true,
|
145 |
+
"single_word": false,
|
146 |
+
"special": true
|
147 |
+
},
|
148 |
+
"100273": {
|
149 |
+
"content": "<|dummy_10|>",
|
150 |
+
"lstrip": true,
|
151 |
+
"normalized": false,
|
152 |
+
"rstrip": true,
|
153 |
+
"single_word": false,
|
154 |
+
"special": true
|
155 |
+
},
|
156 |
+
"100274": {
|
157 |
+
"content": "<|dummy_11|>",
|
158 |
+
"lstrip": true,
|
159 |
+
"normalized": false,
|
160 |
+
"rstrip": true,
|
161 |
+
"single_word": false,
|
162 |
+
"special": true
|
163 |
+
},
|
164 |
+
"100275": {
|
165 |
+
"content": "<|dummy_12|>",
|
166 |
+
"lstrip": true,
|
167 |
+
"normalized": false,
|
168 |
+
"rstrip": true,
|
169 |
+
"single_word": false,
|
170 |
+
"special": true
|
171 |
+
},
|
172 |
+
"100276": {
|
173 |
+
"content": "<|endofprompt|>",
|
174 |
+
"lstrip": true,
|
175 |
+
"normalized": false,
|
176 |
+
"rstrip": true,
|
177 |
+
"single_word": false,
|
178 |
+
"special": true
|
179 |
+
},
|
180 |
+
"100277": {
|
181 |
+
"content": "<|dummy_13|>",
|
182 |
+
"lstrip": true,
|
183 |
+
"normalized": false,
|
184 |
+
"rstrip": true,
|
185 |
+
"single_word": false,
|
186 |
+
"special": true
|
187 |
+
},
|
188 |
+
"100278": {
|
189 |
+
"content": "<|dummy_14|>",
|
190 |
+
"lstrip": true,
|
191 |
+
"normalized": false,
|
192 |
+
"rstrip": true,
|
193 |
+
"single_word": false,
|
194 |
+
"special": true
|
195 |
+
},
|
196 |
+
"100279": {
|
197 |
+
"content": "<|dummy_15|>",
|
198 |
+
"lstrip": true,
|
199 |
+
"normalized": false,
|
200 |
+
"rstrip": true,
|
201 |
+
"single_word": false,
|
202 |
+
"special": true
|
203 |
+
},
|
204 |
+
"100280": {
|
205 |
+
"content": "<|dummy_16|>",
|
206 |
+
"lstrip": true,
|
207 |
+
"normalized": false,
|
208 |
+
"rstrip": true,
|
209 |
+
"single_word": false,
|
210 |
+
"special": true
|
211 |
+
},
|
212 |
+
"100281": {
|
213 |
+
"content": "<|dummy_17|>",
|
214 |
+
"lstrip": true,
|
215 |
+
"normalized": false,
|
216 |
+
"rstrip": true,
|
217 |
+
"single_word": false,
|
218 |
+
"special": true
|
219 |
+
},
|
220 |
+
"100282": {
|
221 |
+
"content": "<|dummy_18|>",
|
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685 |
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"content": "<|dummy_76|>",
|
686 |
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|
687 |
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|
688 |
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|
689 |
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|
690 |
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|
691 |
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"100341": {
|
693 |
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"content": "<|dummy_77|>",
|
694 |
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|
695 |
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|
696 |
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|
697 |
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|
698 |
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|
699 |
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"100342": {
|
701 |
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702 |
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703 |
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704 |
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705 |
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706 |
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|
707 |
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"100343": {
|
709 |
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710 |
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711 |
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712 |
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713 |
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714 |
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715 |
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"100344": {
|
717 |
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718 |
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|
719 |
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720 |
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721 |
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722 |
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|
723 |
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724 |
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725 |
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"content": "<|dummy_81|>",
|
726 |
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|
727 |
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|
728 |
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|
729 |
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|
730 |
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|
731 |
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732 |
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"100346": {
|
733 |
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|
734 |
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|
735 |
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736 |
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737 |
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|
738 |
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|
739 |
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},
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740 |
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|
741 |
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"content": "<|dummy_83|>",
|
742 |
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|
743 |
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744 |
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|
745 |
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|
746 |
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|
747 |
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},
|
748 |
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"100348": {
|
749 |
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"content": "<|dummy_84|>",
|
750 |
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"lstrip": true,
|
751 |
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"normalized": false,
|
752 |
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"rstrip": true,
|
753 |
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"single_word": false,
|
754 |
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"special": true
|
755 |
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},
|
756 |
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"100349": {
|
757 |
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"content": "<|dummy_85|>",
|
758 |
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"lstrip": true,
|
759 |
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"normalized": false,
|
760 |
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"rstrip": true,
|
761 |
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"single_word": false,
|
762 |
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"special": true
|
763 |
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},
|
764 |
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"100350": {
|
765 |
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"content": "<|dummy_86|>",
|
766 |
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"lstrip": true,
|
767 |
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"normalized": false,
|
768 |
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"rstrip": true,
|
769 |
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"single_word": false,
|
770 |
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"special": true
|
771 |
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},
|
772 |
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"100351": {
|
773 |
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"content": "<|dummy_87|>",
|
774 |
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"lstrip": true,
|
775 |
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"normalized": false,
|
776 |
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"rstrip": true,
|
777 |
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"single_word": false,
|
778 |
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"special": true
|
779 |
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}
|
780 |
+
},
|
781 |
+
"bos_token": "<|endoftext|>",
|
782 |
+
"chat_template": "\n{% for message in messages %}\n{% if (message['role'] == 'system') %}\n{{'<|im_start|>system<|im_sep|>' + message['content'] + '<|im_end|>'}}\n{% elif (message['role'] == 'user') %}\n{{'<|im_start|>user<|im_sep|>' + message['content'] + '<|im_end|>'}}\n{% elif (message['role'] == 'assistant') %}\n{{'<|im_start|>assistant<|im_sep|>' + message['content'] + '<|im_end|>'}}\n{% endif %}\n{% endfor %}\n{% if add_generation_prompt %}\n{{ '<|im_start|>assistant<|im_sep|>' }}\n{% endif %}\n",
|
783 |
+
"clean_up_tokenization_spaces": false,
|
784 |
+
"eos_token": "<|im_end|>",
|
785 |
+
"extra_special_tokens": {},
|
786 |
+
"model_max_length": 16384,
|
787 |
+
"pad_token": "<|dummy_87|>",
|
788 |
+
"padding_side": "right",
|
789 |
+
"tokenizer_class": "GPT2Tokenizer",
|
790 |
+
"unk_token": "�"
|
791 |
+
}
|
checkpoint-300/trainer_state.json
ADDED
@@ -0,0 +1,2157 @@
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checkpoint-318/README.md
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|
1 |
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---
|
2 |
+
base_model: unsloth/phi-4-unsloth-bnb-4bit
|
3 |
+
library_name: peft
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- 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. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
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#### Preprocessing [optional]
|
89 |
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|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
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).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.14.0
|
checkpoint-318/adapter_config.json
ADDED
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"content": "<|dummy_59|>",
|
550 |
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|
551 |
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|
552 |
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|
553 |
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|
554 |
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|
555 |
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|
556 |
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"100324": {
|
557 |
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|
558 |
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|
559 |
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|
560 |
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|
561 |
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|
562 |
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|
563 |
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|
564 |
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"100325": {
|
565 |
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"content": "<|dummy_61|>",
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566 |
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|
567 |
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568 |
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569 |
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570 |
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|
571 |
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572 |
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"100326": {
|
573 |
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574 |
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575 |
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576 |
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577 |
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578 |
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|
579 |
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580 |
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|
581 |
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582 |
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583 |
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584 |
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585 |
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586 |
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587 |
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588 |
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589 |
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590 |
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591 |
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593 |
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595 |
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596 |
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597 |
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598 |
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599 |
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600 |
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601 |
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604 |
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605 |
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621 |
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721 |
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723 |
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724 |
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730 |
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731 |
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|
733 |
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734 |
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737 |
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738 |
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741 |
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742 |
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743 |
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746 |
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747 |
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748 |
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757 |
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763 |
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764 |
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765 |
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766 |
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767 |
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768 |
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769 |
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770 |
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771 |
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772 |
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773 |
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774 |
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|
775 |
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776 |
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777 |
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|
778 |
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|
779 |
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}
|
780 |
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},
|
781 |
+
"bos_token": "<|endoftext|>",
|
782 |
+
"chat_template": "\n{% for message in messages %}\n{% if (message['role'] == 'system') %}\n{{'<|im_start|>system<|im_sep|>' + message['content'] + '<|im_end|>'}}\n{% elif (message['role'] == 'user') %}\n{{'<|im_start|>user<|im_sep|>' + message['content'] + '<|im_end|>'}}\n{% elif (message['role'] == 'assistant') %}\n{{'<|im_start|>assistant<|im_sep|>' + message['content'] + '<|im_end|>'}}\n{% endif %}\n{% endfor %}\n{% if add_generation_prompt %}\n{{ '<|im_start|>assistant<|im_sep|>' }}\n{% endif %}\n",
|
783 |
+
"clean_up_tokenization_spaces": false,
|
784 |
+
"eos_token": "<|im_end|>",
|
785 |
+
"extra_special_tokens": {},
|
786 |
+
"model_max_length": 16384,
|
787 |
+
"pad_token": "<|dummy_87|>",
|
788 |
+
"padding_side": "right",
|
789 |
+
"tokenizer_class": "GPT2Tokenizer",
|
790 |
+
"unk_token": "�"
|
791 |
+
}
|
checkpoint-318/trainer_state.json
ADDED
@@ -0,0 +1,2283 @@
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tokenizer.json
ADDED
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tokenizer_config.json
ADDED
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|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"5809": {
|
5 |
+
"content": "�",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"100256": {
|
13 |
+
"content": "<|dummy_0|>",
|
14 |
+
"lstrip": true,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": true,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"100257": {
|
21 |
+
"content": "<|endoftext|>",
|
22 |
+
"lstrip": true,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": true,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
},
|
28 |
+
"100258": {
|
29 |
+
"content": "<|fim_prefix|>",
|
30 |
+
"lstrip": true,
|
31 |
+
"normalized": false,
|
32 |
+
"rstrip": true,
|
33 |
+
"single_word": false,
|
34 |
+
"special": true
|
35 |
+
},
|
36 |
+
"100259": {
|
37 |
+
"content": "<|fim_middle|>",
|
38 |
+
"lstrip": true,
|
39 |
+
"normalized": false,
|
40 |
+
"rstrip": true,
|
41 |
+
"single_word": false,
|
42 |
+
"special": true
|
43 |
+
},
|
44 |
+
"100260": {
|
45 |
+
"content": "<|fim_suffix|>",
|
46 |
+
"lstrip": true,
|
47 |
+
"normalized": false,
|
48 |
+
"rstrip": true,
|
49 |
+
"single_word": false,
|
50 |
+
"special": true
|
51 |
+
},
|
52 |
+
"100261": {
|
53 |
+
"content": "<|dummy_1|>",
|
54 |
+
"lstrip": true,
|
55 |
+
"normalized": false,
|
56 |
+
"rstrip": true,
|
57 |
+
"single_word": false,
|
58 |
+
"special": true
|
59 |
+
},
|
60 |
+
"100262": {
|
61 |
+
"content": "<|dummy_2|>",
|
62 |
+
"lstrip": true,
|
63 |
+
"normalized": false,
|
64 |
+
"rstrip": true,
|
65 |
+
"single_word": false,
|
66 |
+
"special": true
|
67 |
+
},
|
68 |
+
"100263": {
|
69 |
+
"content": "<|dummy_3|>",
|
70 |
+
"lstrip": true,
|
71 |
+
"normalized": false,
|
72 |
+
"rstrip": true,
|
73 |
+
"single_word": false,
|
74 |
+
"special": true
|
75 |
+
},
|
76 |
+
"100264": {
|
77 |
+
"content": "<|im_start|>",
|
78 |
+
"lstrip": true,
|
79 |
+
"normalized": false,
|
80 |
+
"rstrip": true,
|
81 |
+
"single_word": false,
|
82 |
+
"special": true
|
83 |
+
},
|
84 |
+
"100265": {
|
85 |
+
"content": "<|im_end|>",
|
86 |
+
"lstrip": true,
|
87 |
+
"normalized": false,
|
88 |
+
"rstrip": true,
|
89 |
+
"single_word": false,
|
90 |
+
"special": true
|
91 |
+
},
|
92 |
+
"100266": {
|
93 |
+
"content": "<|im_sep|>",
|
94 |
+
"lstrip": true,
|
95 |
+
"normalized": false,
|
96 |
+
"rstrip": true,
|
97 |
+
"single_word": false,
|
98 |
+
"special": true
|
99 |
+
},
|
100 |
+
"100267": {
|
101 |
+
"content": "<|dummy_4|>",
|
102 |
+
"lstrip": true,
|
103 |
+
"normalized": false,
|
104 |
+
"rstrip": true,
|
105 |
+
"single_word": false,
|
106 |
+
"special": true
|
107 |
+
},
|
108 |
+
"100268": {
|
109 |
+
"content": "<|dummy_5|>",
|
110 |
+
"lstrip": true,
|
111 |
+
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|
112 |
+
"rstrip": true,
|
113 |
+
"single_word": false,
|
114 |
+
"special": true
|
115 |
+
},
|
116 |
+
"100269": {
|
117 |
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"content": "<|dummy_6|>",
|
118 |
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"lstrip": true,
|
119 |
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|
120 |
+
"rstrip": true,
|
121 |
+
"single_word": false,
|
122 |
+
"special": true
|
123 |
+
},
|
124 |
+
"100270": {
|
125 |
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"content": "<|dummy_7|>",
|
126 |
+
"lstrip": true,
|
127 |
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|
128 |
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"rstrip": true,
|
129 |
+
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|
130 |
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"special": true
|
131 |
+
},
|
132 |
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"100271": {
|
133 |
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"content": "<|dummy_8|>",
|
134 |
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|
135 |
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|
136 |
+
"rstrip": true,
|
137 |
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|
138 |
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"special": true
|
139 |
+
},
|
140 |
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"100272": {
|
141 |
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"content": "<|dummy_9|>",
|
142 |
+
"lstrip": true,
|
143 |
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"normalized": false,
|
144 |
+
"rstrip": true,
|
145 |
+
"single_word": false,
|
146 |
+
"special": true
|
147 |
+
},
|
148 |
+
"100273": {
|
149 |
+
"content": "<|dummy_10|>",
|
150 |
+
"lstrip": true,
|
151 |
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|
152 |
+
"rstrip": true,
|
153 |
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"single_word": false,
|
154 |
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"special": true
|
155 |
+
},
|
156 |
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"100274": {
|
157 |
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"content": "<|dummy_11|>",
|
158 |
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"lstrip": true,
|
159 |
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"normalized": false,
|
160 |
+
"rstrip": true,
|
161 |
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"single_word": false,
|
162 |
+
"special": true
|
163 |
+
},
|
164 |
+
"100275": {
|
165 |
+
"content": "<|dummy_12|>",
|
166 |
+
"lstrip": true,
|
167 |
+
"normalized": false,
|
168 |
+
"rstrip": true,
|
169 |
+
"single_word": false,
|
170 |
+
"special": true
|
171 |
+
},
|
172 |
+
"100276": {
|
173 |
+
"content": "<|endofprompt|>",
|
174 |
+
"lstrip": true,
|
175 |
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"normalized": false,
|
176 |
+
"rstrip": true,
|
177 |
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"single_word": false,
|
178 |
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"special": true
|
179 |
+
},
|
180 |
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"100277": {
|
181 |
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"content": "<|dummy_13|>",
|
182 |
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"lstrip": true,
|
183 |
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"normalized": false,
|
184 |
+
"rstrip": true,
|
185 |
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"single_word": false,
|
186 |
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"special": true
|
187 |
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},
|
188 |
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"100278": {
|
189 |
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"content": "<|dummy_14|>",
|
190 |
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"lstrip": true,
|
191 |
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"normalized": false,
|
192 |
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"rstrip": true,
|
193 |
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"single_word": false,
|
194 |
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"special": true
|
195 |
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},
|
196 |
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"100279": {
|
197 |
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"content": "<|dummy_15|>",
|
198 |
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"lstrip": true,
|
199 |
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"normalized": false,
|
200 |
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"rstrip": true,
|
201 |
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"single_word": false,
|
202 |
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"special": true
|
203 |
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},
|
204 |
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"100280": {
|
205 |
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"content": "<|dummy_16|>",
|
206 |
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"lstrip": true,
|
207 |
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"normalized": false,
|
208 |
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"rstrip": true,
|
209 |
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"single_word": false,
|
210 |
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"special": true
|
211 |
+
},
|
212 |
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"100281": {
|
213 |
+
"content": "<|dummy_17|>",
|
214 |
+
"lstrip": true,
|
215 |
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"normalized": false,
|
216 |
+
"rstrip": true,
|
217 |
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"single_word": false,
|
218 |
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"special": true
|
219 |
+
},
|
220 |
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"100282": {
|
221 |
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"content": "<|dummy_18|>",
|
222 |
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"lstrip": true,
|
223 |
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"normalized": false,
|
224 |
+
"rstrip": true,
|
225 |
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"single_word": false,
|
226 |
+
"special": true
|
227 |
+
},
|
228 |
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"100283": {
|
229 |
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"content": "<|dummy_19|>",
|
230 |
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"lstrip": true,
|
231 |
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"normalized": false,
|
232 |
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"rstrip": true,
|
233 |
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"single_word": false,
|
234 |
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"special": true
|
235 |
+
},
|
236 |
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"100284": {
|
237 |
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"content": "<|dummy_20|>",
|
238 |
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"lstrip": true,
|
239 |
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|
240 |
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"rstrip": true,
|
241 |
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|
242 |
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"special": true
|
243 |
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},
|
244 |
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"100285": {
|
245 |
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"content": "<|dummy_21|>",
|
246 |
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"lstrip": true,
|
247 |
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"normalized": false,
|
248 |
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"rstrip": true,
|
249 |
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"single_word": false,
|
250 |
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"special": true
|
251 |
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},
|
252 |
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"100286": {
|
253 |
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"content": "<|dummy_22|>",
|
254 |
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"lstrip": true,
|
255 |
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|
256 |
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"rstrip": true,
|
257 |
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|
258 |
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"special": true
|
259 |
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},
|
260 |
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|
261 |
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"content": "<|dummy_23|>",
|
262 |
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|
263 |
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|
264 |
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|
265 |
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|
266 |
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|
267 |
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},
|
268 |
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"100288": {
|
269 |
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"content": "<|dummy_24|>",
|
270 |
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"lstrip": true,
|
271 |
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|
272 |
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|
273 |
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|
274 |
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|
275 |
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},
|
276 |
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"100289": {
|
277 |
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"content": "<|dummy_25|>",
|
278 |
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|
279 |
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|
280 |
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|
281 |
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|
282 |
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|
283 |
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},
|
284 |
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"100290": {
|
285 |
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"content": "<|dummy_26|>",
|
286 |
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|
287 |
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|
288 |
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|
289 |
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|
290 |
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|
291 |
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},
|
292 |
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"100291": {
|
293 |
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"content": "<|dummy_27|>",
|
294 |
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|
295 |
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|
296 |
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|
297 |
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|
298 |
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"special": true
|
299 |
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},
|
300 |
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"100292": {
|
301 |
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"content": "<|dummy_28|>",
|
302 |
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"lstrip": true,
|
303 |
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|
304 |
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"rstrip": true,
|
305 |
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|
306 |
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|
307 |
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},
|
308 |
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"100293": {
|
309 |
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"content": "<|dummy_29|>",
|
310 |
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|
311 |
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|
312 |
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"rstrip": true,
|
313 |
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|
314 |
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|
315 |
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|
316 |
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"100294": {
|
317 |
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"content": "<|dummy_30|>",
|
318 |
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"lstrip": true,
|
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"bos_token": "<|endoftext|>",
|
782 |
+
"chat_template": "\n{% for message in messages %}\n{% if (message['role'] == 'system') %}\n{{'<|im_start|>system<|im_sep|>' + message['content'] + '<|im_end|>'}}\n{% elif (message['role'] == 'user') %}\n{{'<|im_start|>user<|im_sep|>' + message['content'] + '<|im_end|>'}}\n{% elif (message['role'] == 'assistant') %}\n{{'<|im_start|>assistant<|im_sep|>' + message['content'] + '<|im_end|>'}}\n{% endif %}\n{% endfor %}\n{% if add_generation_prompt %}\n{{ '<|im_start|>assistant<|im_sep|>' }}\n{% endif %}\n",
|
783 |
+
"clean_up_tokenization_spaces": false,
|
784 |
+
"eos_token": "<|im_end|>",
|
785 |
+
"extra_special_tokens": {},
|
786 |
+
"model_max_length": 16384,
|
787 |
+
"pad_token": "<|dummy_87|>",
|
788 |
+
"padding_side": "left",
|
789 |
+
"tokenizer_class": "GPT2Tokenizer",
|
790 |
+
"unk_token": "�"
|
791 |
+
}
|
vocab.json
ADDED
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|
|