Update README.md

README.md

@@ -8,65 +8,68 @@ tags:
 - sft
 - transformers
 - trl
+license: apache-2.0
+datasets:
+- grasgor/steve-jobs-interviews-dpo
+language:
+- en
 ---
 
 # Model Card for Model ID
 
 <!-- Provide a quick summary of what the model is/does. -->
-
-
-
+This model is a finetuned version of Llama3.2-1B trained on Steve Jobs' interview responses.
 ## Model Details
 
 ### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
+The model was trained using QLoRA. The repository contains the weights for the lora adapters and the usage is as shown below. 
 
 
+<!-- Provide a longer summary of what this model is. -->
 
-- **Developed by:** [More Information Needed]
+<!-- - **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]
+- **Model type:** [More Information Needed] -->
+<!-- - **Language(s) (NLP):** [English] -->
+<!-- - **License:** [Apache 2.0] -->
+<!-- - **Finetuned from model [optional]:** [More Information Needed] -->
 
+<!-- ### Model Sources [optional]
+ -->
 <!-- Provide the basic links for the model. -->
 
-- **Repository:** [More Information Needed]
+<!-- - **Repository:** [More Information Needed]
 - **Paper [optional]:** [More Information Needed]
 - **Demo [optional]:** [More Information Needed]
-
-## Uses
+ -->
+<!-- ## 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
+<!-- ### Direct Use
 
 <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
 
-[More Information Needed]
+<!-- [More Information Needed] -->
 
-### Downstream Use [optional]
+<!-- ### Downstream Use [optional] -->
 
 <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
 
-[More Information Needed]
+<!-- [More Information Needed] -->
 
-### Out-of-Scope Use
+<!-- ### Out-of-Scope Use -->
 
 <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
 
-[More Information Needed]
+<!-- [More Information Needed] -->
 
-## Bias, Risks, and Limitations
+<!-- ## Bias, Risks, and Limitations
 
 <!-- This section is meant to convey both technical and sociotechnical limitations. -->
 
-[More Information Needed]
+<!-- [More Information Needed] -->
 
 ### Recommendations
 
@@ -77,58 +80,89 @@ Users (both direct and downstream) should be made aware of the risks, biases and
 ## How to Get Started with the Model
 
 Use the code below to get started with the model.
-
-[More Information Needed]
-
+```bash
+from transformers import pipeline, AutoTokenizer
+
+model_name = "meta-llama/Llama-3.2-1B"
+
+# Load tokenizer
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+tokenizer.pad_token = tokenizer.eos_token
+
+pipe = pipeline("text-generation", model="grasgor/jobs-llama3.2-1B-sft", tokenizer=tokenizer, return_full_text=False)
+
+prompt = "Is there an inevitable break between being an entrepreneur and a businessman? Are the people who get things going different?"
+
+result = pipe(
+    prompt,
+    max_new_tokens=3072,
+    temperature=0.8,
+    do_sample=True,
+    top_k=50,                  
+    top_p=0.9,                 
+    repetition_penalty=1.2     
+)
+print(result[0]["generated_text"])
+
+```
+#### Response
+```
+The difference is that in business you're trying to make money, not something. You want your company to be successful--not just one or two individuals within it.
+And the reason we do this is because these are very personal endeavors for us; they have deep meaning. But if I had been able to go into my basement last night at
+midnight with no idea what was about to happen but know exactly where all of our chips were laid out on the table before me, would I take any chances right now?
+Of course!
+```
+
+<!-- [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]
+<!-- [More Information Needed] -->
 
-### Training Procedure
+<!-- ### Training Procedure -->
 
 <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+<!-- 
+#### Preprocessing [optional] -->
 
-#### Preprocessing [optional]
-
-[More Information Needed]
+<!-- [More Information Needed] -->
 
 
-#### Training Hyperparameters
+<!-- #### 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 -->
 
-#### Speeds, Sizes, Times [optional]
-
+<!-- #### Speeds, Sizes, Times [optional] -->
 <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
 
-[More Information Needed]
+<!-- [More Information Needed] -->
 
-## Evaluation
+<!-- ## Evaluation -->
 
 <!-- This section describes the evaluation protocols and provides the results. -->
 
-### Testing Data, Factors & Metrics
+<!-- ### Testing Data, Factors & Metrics
 
-#### Testing Data
+#### Testing Data -->
 
 <!-- This should link to a Dataset Card if possible. -->
 
-[More Information Needed]
+<!-- [More Information Needed] -->
 
-#### Factors
+<!-- #### Factors -->
 
 <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
 
-[More Information Needed]
+<!-- [More Information Needed] -->
 
-#### Metrics
+<!-- #### Metrics -->
 
 <!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
+<!-- 
 [More Information Needed]
 
 ### Results
@@ -143,13 +177,13 @@ Use the code below to get started with the model.
 
 <!-- Relevant interpretability work for the model goes here -->
 
-[More Information Needed]
+<!-- [More Information Needed] -->
 
-## Environmental Impact
+<!-- ## Environmental Impact -->
 
 <!-- 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).
+<!-- 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]
@@ -159,27 +193,27 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 
 ## Technical Specifications [optional]
 
-### Model Architecture and Objective
-
+### Model Architecture and Objective -->
+<!-- 
 [More Information Needed]
 
-### Compute Infrastructure
-
+### Compute Infrastructure -->
+<!-- 
 [More Information Needed]
 
 #### Hardware
 
 [More Information Needed]
 
-#### Software
+#### Software -->
 
-[More Information Needed]
+<!-- [More Information Needed]
 
 ## Citation [optional]
-
+ -->
 <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
 
-**BibTeX:**
+<!-- **BibTeX:**
 
 [More Information Needed]
 
@@ -191,19 +225,19 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 
 <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
 
-[More Information Needed]
+<!-- [More Information Needed] -->
 
-## More Information [optional]
+<!-- ## More Information [optional]
 
-[More Information Needed]
+<!-- [More Information Needed] -->
 
-## Model Card Authors [optional]
+<!-- ## Model Card Authors [optional]
 
 [More Information Needed]
 
 ## Model Card Contact
 
-[More Information Needed]
-### Framework versions
+<!-- [More Information Needed]
+### Framework versions -->
 
 - PEFT 0.16.0