Update README.md

README.md

@@ -6,95 +6,45 @@ base_model: jangmin/midm-7b-safetensors-only
 # Model Card for Model ID
 
 <!-- Provide a quick summary of what the model is/does. -->
-euneeei/hw-midm-7B0nsmc
+euneeei/hw-midm-7B-nsmc
 
 
-
-## Model Details
-
-### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
-
-
-
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-
-## Uses
-
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-
-### 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.
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-[More Information Needed]
-
-## Training Details
-
 ### Training Data
 
 <!-- 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. -->
-
-[More Information Needed]
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-### Training Procedure 
-
-<!-- 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]
-
-[More Information Needed]
+한국어로 된 네이버 영화 리뷰 데이터셋입니다.
 
 
 #### Training Hyperparameters
 
 - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
+training_args: TrainingArguments = field(
+        default_factory=lambda: TrainingArguments(
+            output_dir="./results",
+            max_steps=500,
+            logging_steps=20,
+            # save_steps=10,
+            per_device_train_batch_size=1,
+            per_device_eval_batch_size=1,
+            gradient_accumulation_steps=2,
+            gradient_checkpointing=False,
+            group_by_length=False,
+            # learning_rate=1e-4,
+            learning_rate = 2e-4,
+            lr_scheduler_type="cosine",
+            warmup_steps=100,
+            warmup_ratio=0.03,
+            max_grad_norm=0.3,
+            weight_decay=0.05,
+            save_total_limit=20,
+            save_strategy="epoch",
+            num_train_epochs=1,
+            optim="paged_adamw_32bit",
+            fp16=True,
+            remove_unused_columns=False,
+            report_to="wandb",
+        )
+  
 #### Speeds, Sizes, Times [optional]
 
 <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
@@ -110,93 +60,41 @@ Use the code below to get started with the model.
 #### Testing Data
 
 <!-- This should link to a Dataset Card if possible. -->
+1000개
 
 [More Information Needed]
 
 #### Factors
 
 <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+ learning_rate : 1e-4-> 2e-4
+ max_steps=500 설정
+ warmup_steps=100 설정
 
+ 
 [More Information Needed]
 
 #### Metrics
 
 <!-- These are the evaluation metrics being used, ideally with a description of why. -->
 
-[More Information Needed]
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-### Results
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-[More Information Needed]
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-#### Summary
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-
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-## Model Examination [optional]
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-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
-## 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 -->
-
-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).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-## 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]
-
-## Glossary [optional]
 
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+precision	recall	f1-score	support
+negative	0.87	0.95	091	492
+positive	0.94	0.87	0.90	508
+accuracy			0.91	1000
+macro avg	0.91	0.91	0.91	1000
+weighted avg	0.91	0.91	0.91	1000
 
-[More Information Needed]
+confusion metrics
 
-## More Information [optional]
+[[ 466, 26 ]
+[68, 440]]
 
 [More Information Needed]
 
-## Model Card Authors [optional]
-
-[More Information Needed]
-
-## Model Card Contact
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+### Results
+정확도 0.51 -> 0.91로 높아졌습니다
 [More Information Needed]