initial_commit
Browse files- README.md +202 -3
- adapter_config.json +3 -3
- all_results.json +5 -5
- train_results.json +5 -5
- trainer_state.json +17 -605
- training_args.bin +1 -1
README.md
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| 1 |
+
---
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library_name: peft
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base_model: microsoft/Phi-3-mini-4k-instruct
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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 0.11.1
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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"
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"gate_up_proj",
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"down_proj",
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"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"o_proj",
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"down_proj",
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"gate_up_proj",
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"qkv_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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all_results.json
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{
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"epoch": 1.0,
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"total_flos":
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"train_loss": 0.
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"train_runtime":
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"train_samples_per_second": 0.
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"train_steps_per_second": 0.
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}
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{
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"epoch": 1.0,
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"total_flos": 3.1269503354535936e+16,
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"train_loss": 0.19359449498793657,
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"train_runtime": 1514.0603,
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"train_samples_per_second": 0.448,
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"train_steps_per_second": 0.112
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}
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train_results.json
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{
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"epoch": 1.0,
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"total_flos":
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"train_loss": 0.
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"train_runtime":
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"train_samples_per_second": 0.
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"train_steps_per_second": 0.
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{
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"epoch": 1.0,
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"total_flos": 3.1269503354535936e+16,
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"train_loss": 0.19359449498793657,
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"train_runtime": 1514.0603,
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"train_samples_per_second": 0.448,
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"train_steps_per_second": 0.112
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trainer_state.json
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"best_model_checkpoint": null,
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"eval_steps": 500,
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"global_step":
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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|
| 32 |
{
|
| 33 |
"epoch": 1.0,
|
| 34 |
+
"step": 170,
|
| 35 |
+
"total_flos": 3.1269503354535936e+16,
|
| 36 |
+
"train_loss": 0.19359449498793657,
|
| 37 |
+
"train_runtime": 1514.0603,
|
| 38 |
+
"train_samples_per_second": 0.448,
|
| 39 |
+
"train_steps_per_second": 0.112
|
| 40 |
}
|
| 41 |
],
|
| 42 |
"logging_steps": 50,
|
| 43 |
+
"max_steps": 170,
|
| 44 |
"num_input_tokens_seen": 0,
|
| 45 |
"num_train_epochs": 1,
|
| 46 |
"save_steps": 500,
|
|
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|
| 50 |
"should_epoch_stop": false,
|
| 51 |
"should_evaluate": false,
|
| 52 |
"should_log": false,
|
| 53 |
+
"should_save": false,
|
| 54 |
"should_training_stop": false
|
| 55 |
},
|
| 56 |
"attributes": {}
|
| 57 |
}
|
| 58 |
},
|
| 59 |
+
"total_flos": 3.1269503354535936e+16,
|
| 60 |
"train_batch_size": 4,
|
| 61 |
"trial_name": null,
|
| 62 |
"trial_params": null
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5112
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4844ff749272ef526f5f855db84ae0970596b037c1465ab89ba72153131c3b54
|
| 3 |
size 5112
|