Training in progress, step 100, checkpoint
Browse files- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +33 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/added_tokens.json +40 -0
- last-checkpoint/merges.txt +0 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +30 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer_config.json +326 -0
- last-checkpoint/trainer_state.json +758 -0
- last-checkpoint/training_args.bin +3 -0
- last-checkpoint/vocab.json +0 -0
last-checkpoint/README.md
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---
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base_model: microsoft/phi-2
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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 0.13.2
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last-checkpoint/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": "microsoft/phi-2",
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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": 128,
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"lora_dropout": 0.05,
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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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"fc1",
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"q_proj",
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"fc2",
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"v_proj",
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"dense",
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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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last-checkpoint/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 377538512
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last-checkpoint/added_tokens.json
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last-checkpoint/merges.txt
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last-checkpoint/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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last-checkpoint/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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last-checkpoint/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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last-checkpoint/special_tokens_map.json
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last-checkpoint/tokenizer.json
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last-checkpoint/tokenizer_config.json
ADDED
@@ -0,0 +1,326 @@
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1 |
+
{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"50256": {
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"content": "<|endoftext|>",
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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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"special": true
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},
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"50257": {
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"content": " ",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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18 |
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"special": false
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},
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"50258": {
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"content": " ",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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25 |
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"single_word": false,
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"special": false
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},
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"50259": {
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"content": " ",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": false
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35 |
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},
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"50260": {
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"content": " ",
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"lstrip": false,
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"normalized": true,
|
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"rstrip": false,
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"single_word": false,
|
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"special": false
|
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},
|
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"50261": {
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"content": " ",
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"lstrip": false,
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"normalized": true,
|
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"rstrip": false,
|
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"single_word": false,
|
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"special": false
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},
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"50262": {
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"content": " ",
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"lstrip": false,
|
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"normalized": true,
|
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"rstrip": false,
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"single_word": false,
|
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"special": false
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},
|
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"50263": {
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"content": " ",
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"lstrip": false,
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"normalized": true,
|
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"rstrip": false,
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"single_word": false,
|
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"special": false
|
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},
|
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"50264": {
|
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"content": " ",
|
70 |
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"lstrip": false,
|
71 |
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"normalized": true,
|
72 |
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"rstrip": false,
|
73 |
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"single_word": false,
|
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"special": false
|
75 |
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},
|
76 |
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"50265": {
|
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"content": " ",
|
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"lstrip": false,
|
79 |
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"normalized": true,
|
80 |
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"rstrip": false,
|
81 |
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"single_word": false,
|
82 |
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"special": false
|
83 |
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},
|
84 |
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"50266": {
|
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"content": " ",
|
86 |
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"lstrip": false,
|
87 |
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"normalized": true,
|
88 |
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"rstrip": false,
|
89 |
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"single_word": false,
|
90 |
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"special": false
|
91 |
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},
|
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"50267": {
|
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"content": " ",
|
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"lstrip": false,
|
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"normalized": true,
|
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"rstrip": false,
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"single_word": false,
|
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"special": false
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},
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"50268": {
|
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"content": " ",
|
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"lstrip": false,
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"normalized": true,
|
104 |
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"rstrip": false,
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105 |
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"single_word": false,
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"special": false
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},
|
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"50269": {
|
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"content": " ",
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"lstrip": false,
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111 |
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"normalized": true,
|
112 |
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"rstrip": false,
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"single_word": false,
|
114 |
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"special": false
|
115 |
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},
|
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"50270": {
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"content": " ",
|
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"lstrip": false,
|
119 |
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"normalized": true,
|
120 |
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"rstrip": false,
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121 |
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"single_word": false,
|
122 |
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"special": false
|
123 |
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},
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"50271": {
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"content": " ",
|
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"lstrip": false,
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"normalized": true,
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128 |
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"rstrip": false,
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129 |
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"single_word": false,
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"special": false
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},
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"50272": {
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"content": " ",
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134 |
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"lstrip": false,
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135 |
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"normalized": true,
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136 |
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"rstrip": false,
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137 |
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"single_word": false,
|
138 |
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"special": false
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139 |
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},
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"50273": {
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"content": " ",
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142 |
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"lstrip": false,
|
143 |
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"normalized": true,
|
144 |
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"rstrip": false,
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145 |
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"single_word": false,
|
146 |
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"special": false
|
147 |
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},
|
148 |
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"50274": {
|
149 |
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"content": " ",
|
150 |
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"lstrip": false,
|
151 |
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"normalized": true,
|
152 |
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"rstrip": false,
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153 |
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"single_word": false,
|
154 |
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"special": false
|
155 |
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},
|
156 |
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"50275": {
|
157 |
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"content": " ",
|
158 |
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"lstrip": false,
|
159 |
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"normalized": true,
|
160 |
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"rstrip": false,
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161 |
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"single_word": false,
|
162 |
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"special": false
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163 |
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},
|
164 |
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"50276": {
|
165 |
+
"content": " ",
|
166 |
+
"lstrip": false,
|
167 |
+
"normalized": true,
|
168 |
+
"rstrip": false,
|
169 |
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"single_word": false,
|
170 |
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"special": false
|
171 |
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},
|
172 |
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"50277": {
|
173 |
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"content": " ",
|
174 |
+
"lstrip": false,
|
175 |
+
"normalized": true,
|
176 |
+
"rstrip": false,
|
177 |
+
"single_word": false,
|
178 |
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"special": false
|
179 |
+
},
|
180 |
+
"50278": {
|
181 |
+
"content": " ",
|
182 |
+
"lstrip": false,
|
183 |
+
"normalized": true,
|
184 |
+
"rstrip": false,
|
185 |
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"single_word": false,
|
186 |
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"special": false
|
187 |
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},
|
188 |
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"50279": {
|
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"content": " ",
|
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"lstrip": false,
|
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"normalized": true,
|
192 |
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"rstrip": false,
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"single_word": false,
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"special": false
|
195 |
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},
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"50280": {
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"content": " ",
|
198 |
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"lstrip": false,
|
199 |
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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202 |
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"special": false
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203 |
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},
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"50281": {
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"content": " ",
|
206 |
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"lstrip": false,
|
207 |
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"normalized": true,
|
208 |
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"rstrip": false,
|
209 |
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"single_word": false,
|
210 |
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"special": false
|
211 |
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},
|
212 |
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"50282": {
|
213 |
+
"content": " ",
|
214 |
+
"lstrip": false,
|
215 |
+
"normalized": true,
|
216 |
+
"rstrip": false,
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217 |
+
"single_word": false,
|
218 |
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"special": false
|
219 |
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},
|
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"50283": {
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"content": " ",
|
222 |
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"lstrip": false,
|
223 |
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"normalized": true,
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224 |
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"rstrip": false,
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225 |
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"single_word": false,
|
226 |
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"special": false
|
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},
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"50284": {
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229 |
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"content": " ",
|
230 |
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"lstrip": false,
|
231 |
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"normalized": true,
|
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"rstrip": false,
|
233 |
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"single_word": false,
|
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"special": false
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},
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"50285": {
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"content": " ",
|
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"lstrip": false,
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"normalized": true,
|
240 |
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"rstrip": false,
|
241 |
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"single_word": false,
|
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"special": false
|
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},
|
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"50286": {
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"content": " ",
|
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"lstrip": false,
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"normalized": true,
|
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"rstrip": false,
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"single_word": false,
|
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"special": false
|
251 |
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},
|
252 |
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"50287": {
|
253 |
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"content": "\t\t\t\t\t\t\t\t\t",
|
254 |
+
"lstrip": false,
|
255 |
+
"normalized": true,
|
256 |
+
"rstrip": false,
|
257 |
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"single_word": false,
|
258 |
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"special": false
|
259 |
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},
|
260 |
+
"50288": {
|
261 |
+
"content": "\t\t\t\t\t\t\t\t",
|
262 |
+
"lstrip": false,
|
263 |
+
"normalized": true,
|
264 |
+
"rstrip": false,
|
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"single_word": false,
|
266 |
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"special": false
|
267 |
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},
|
268 |
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"50289": {
|
269 |
+
"content": "\t\t\t\t\t\t\t",
|
270 |
+
"lstrip": false,
|
271 |
+
"normalized": true,
|
272 |
+
"rstrip": false,
|
273 |
+
"single_word": false,
|
274 |
+
"special": false
|
275 |
+
},
|
276 |
+
"50290": {
|
277 |
+
"content": "\t\t\t\t\t\t",
|
278 |
+
"lstrip": false,
|
279 |
+
"normalized": true,
|
280 |
+
"rstrip": false,
|
281 |
+
"single_word": false,
|
282 |
+
"special": false
|
283 |
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},
|
284 |
+
"50291": {
|
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"content": "\t\t\t\t\t",
|
286 |
+
"lstrip": false,
|
287 |
+
"normalized": true,
|
288 |
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"rstrip": false,
|
289 |
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"single_word": false,
|
290 |
+
"special": false
|
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},
|
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"50292": {
|
293 |
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"content": "\t\t\t\t",
|
294 |
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"lstrip": false,
|
295 |
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"normalized": true,
|
296 |
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"rstrip": false,
|
297 |
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"single_word": false,
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298 |
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"special": false
|
299 |
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},
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300 |
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"50293": {
|
301 |
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"content": "\t\t\t",
|
302 |
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"lstrip": false,
|
303 |
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"normalized": true,
|
304 |
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"rstrip": false,
|
305 |
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"single_word": false,
|
306 |
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"special": false
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},
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"50294": {
|
309 |
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"content": "\t\t",
|
310 |
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"lstrip": false,
|
311 |
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"normalized": true,
|
312 |
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"rstrip": false,
|
313 |
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"single_word": false,
|
314 |
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"special": false
|
315 |
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}
|
316 |
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},
|
317 |
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"bos_token": "<|endoftext|>",
|
318 |
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"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
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319 |
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"clean_up_tokenization_spaces": true,
|
320 |
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"eos_token": "<|endoftext|>",
|
321 |
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"model_max_length": 2048,
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322 |
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"pad_token": "<|endoftext|>",
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323 |
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"return_token_type_ids": false,
|
324 |
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"tokenizer_class": "CodeGenTokenizer",
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325 |
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"unk_token": "<|endoftext|>"
|
326 |
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}
|
last-checkpoint/trainer_state.json
ADDED
@@ -0,0 +1,758 @@
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