Training in progress, step 99, 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/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 +70 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer_config.json +358 -0
- last-checkpoint/trainer_state.json +742 -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: bigcode/starcoder2-3b
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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
ADDED
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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": "bigcode/starcoder2-3b",
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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": 16,
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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": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"o_proj",
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"k_proj",
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"v_proj",
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"c_fc",
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"c_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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oid sha256:e4be0aa1ab6d9250613a0c15c8744d36df9ea2e70d5064e33359cd0b686c8089
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size 47724600
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last-checkpoint/merges.txt
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last-checkpoint/optimizer.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:d3612d90a13a05f7fa0300b639aab5e84771348e6a409b83bb03c361bbf28050
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size 25331516
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last-checkpoint/rng_state.pth
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:6bce09c3aa7cc437c65f18e41836076e7e15f9af033e54bf620ca4007f50484f
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size 14244
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last-checkpoint/scheduler.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:e80bd13ccd86381c43d36a50b9b8744dacf3b87fffadb3e5cb79368ce9e10822
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size 1064
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last-checkpoint/special_tokens_map.json
ADDED
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{
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"additional_special_tokens": [
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"<|endoftext|>",
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"<fim_prefix>",
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"<fim_middle>",
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"<pr_base>",
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"<pr_base_code>",
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"<pr_diff>",
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"<pr_diff_hunk>",
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"<pr_comment>",
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"<pr_review>",
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"<pr_review_state>",
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"<pr_review_comment>",
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"<pr_in_reply_to_review_id>",
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"<pr_in_reply_to_comment_id>",
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"<pr_diff_hunk_comment_line>",
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"<NAME>",
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"<EMAIL>",
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"<KEY>",
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"<PASSWORD>"
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],
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"bos_token": {
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last-checkpoint/tokenizer.json
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last-checkpoint/tokenizer_config.json
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1 |
+
{
|
2 |
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"add_prefix_space": false,
|
3 |
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"added_tokens_decoder": {
|
4 |
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|
5 |
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|
6 |
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7 |
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9 |
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11 |
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|
13 |
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14 |
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18 |
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19 |
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|
20 |
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|
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27 |
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28 |
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|
29 |
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30 |
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31 |
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32 |
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33 |
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34 |
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35 |
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36 |
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37 |
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38 |
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39 |
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40 |
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41 |
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42 |
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43 |
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44 |
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|
45 |
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46 |
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47 |
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48 |
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49 |
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50 |
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51 |
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52 |
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53 |
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54 |
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55 |
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56 |
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57 |
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58 |
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59 |
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60 |
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|
61 |
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|
62 |
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63 |
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64 |
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65 |
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66 |
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67 |
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68 |
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|
69 |
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|
70 |
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71 |
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72 |
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73 |
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74 |
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75 |
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76 |
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|
77 |
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|
78 |
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79 |
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80 |
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81 |
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82 |
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83 |
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84 |
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|
85 |
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86 |
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87 |
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88 |
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89 |
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90 |
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91 |
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92 |
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|
93 |
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94 |
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95 |
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97 |
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98 |
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99 |
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100 |
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|
101 |
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102 |
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103 |
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104 |
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105 |
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106 |
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107 |
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108 |
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109 |
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110 |
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111 |
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112 |
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113 |
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114 |
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115 |
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116 |
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117 |
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118 |
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121 |
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122 |
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123 |
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124 |
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|
125 |
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126 |
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127 |
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128 |
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129 |
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130 |
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131 |
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132 |
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|
133 |
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134 |
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135 |
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136 |
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138 |
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139 |
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140 |
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141 |
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142 |
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143 |
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144 |
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145 |
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146 |
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147 |
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148 |
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149 |
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150 |
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151 |
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152 |
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153 |
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154 |
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155 |
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156 |
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157 |
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158 |
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159 |
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160 |
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161 |
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162 |
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163 |
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164 |
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|
165 |
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166 |
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167 |
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168 |
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169 |
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170 |
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171 |
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172 |
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|
173 |
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174 |
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175 |
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176 |
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177 |
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178 |
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179 |
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180 |
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181 |
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182 |
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183 |
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184 |
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185 |
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186 |
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187 |
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188 |
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189 |
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190 |
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191 |
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194 |
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195 |
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196 |
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197 |
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198 |
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199 |
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203 |
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204 |
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205 |
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206 |
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207 |
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208 |
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209 |
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210 |
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211 |
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212 |
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213 |
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214 |
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215 |
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216 |
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217 |
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218 |
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219 |
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220 |
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221 |
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222 |
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223 |
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224 |
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225 |
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226 |
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227 |
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228 |
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229 |
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235 |
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237 |
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238 |
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252 |
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253 |
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254 |
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308 |
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310 |
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311 |
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312 |
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313 |
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314 |
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315 |
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316 |
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317 |
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318 |
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319 |
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320 |
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321 |
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322 |
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323 |
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324 |
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325 |
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326 |
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327 |
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328 |
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329 |
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330 |
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331 |
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332 |
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333 |
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334 |
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335 |
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336 |
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337 |
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338 |
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339 |
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340 |
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341 |
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342 |
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343 |
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"<pr_diff_hunk_comment_line>",
|
344 |
+
"<NAME>",
|
345 |
+
"<EMAIL>",
|
346 |
+
"<KEY>",
|
347 |
+
"<PASSWORD>"
|
348 |
+
],
|
349 |
+
"bos_token": "<|endoftext|>",
|
350 |
+
"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 %}",
|
351 |
+
"clean_up_tokenization_spaces": true,
|
352 |
+
"eos_token": "<|endoftext|>",
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353 |
+
"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<|endoftext|>",
|
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"tokenizer_class": "GPT2Tokenizer",
|
356 |
+
"unk_token": "<|endoftext|>",
|
357 |
+
"vocab_size": 49152
|
358 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
@@ -0,0 +1,742 @@
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