Update README.md

README.md

@@ -1,6 +1,8 @@
 ---
 library_name: transformers
-tags: []
+metrics:
+- bleu : 0.67
+- chrf : 0.73
 ---
 
 # Model Card for Model ID
@@ -20,13 +22,6 @@ This is the model card of a 🤗 transformers model that has been pushed on the
 - **Model type:** google/gemma-2b
 - **Finetuned from model [optional]:** google/gemma-2b-it
 
-### 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
 
@@ -35,32 +30,34 @@ This is the model card of a 🤗 transformers model that has been pushed on the
 ### Direct Use
 
 <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+Use this model to generate Python code."
 
-[More Information Needed]
-
-### Downstream Use [optional]
+```python
+# Load model directly
+from transformers import AutoTokenizer, AutoModelForCausalLM
 
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+model_id = "mrSoul7766/gemma-2b-it-python-code-gen-adapter"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
 
-[More Information Needed]
-
-### Out-of-Scope Use
+text = """<start_of_turn>Convert JSON data to a CSV file<end_of_turn>
+<start_of_turn>model"""
 
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+#device = "cuda:0"
 
-[More Information Needed]
+inputs = tokenizer(text, return_tensors="pt")
 
-## Bias, Risks, and Limitations
 
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+outputs = model.generate(**inputs, max_new_tokens=200)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
 
-[More Information Needed]
 
-### Recommendations
+### Out-of-Scope Use
 
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+This model is trained on very basic Python code, so it might not be able to handle complex code.
 
-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
 
@@ -70,68 +67,63 @@ Use the code below to get started with the model.
 
 ## 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]
+**Fine-tuning Data:** [flytech/python-codes-25k](https://huggingface.co/datasets/flytech/python-codes-25k/viewer/default/train?p=2&row=294)
+
 
 ### 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]
-
-[More Information Needed]
-
 
 #### 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]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
+- **Training regime:** fp16 <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+- **learning_rate:** 2e-4
 
 ## Evaluation
-
 <!-- This section describes the evaluation protocols and provides the results. -->
 
-### Testing Data, Factors & Metrics
+
+### Testing Data & Metrics
 
 #### Testing Data
 
 <!-- This should link to a Dataset Card if possible. -->
 
-[More Information Needed]
-
-#### Factors
+[iamtarun/python_code_instructions_18k_alpaca](https://huggingface.co/datasets/iamtarun/python_code_instructions_18k_alpaca?row=44)
 
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
 
 #### Metrics
 
 <!-- These are the evaluation metrics being used, ideally with a description of why. -->
 
-[More Information Needed]
+ - **chrf:** 0.73
+ - **codeblue:** 0.67
+ - **codeblue_ngram:** 0.53
 
 ### Results
 
 [More Information Needed]
+```python
+import json
+import pandas as pd
 
-#### Summary
-
+# Load the JSON data
+with open('data.json', 'r') as f:
+    data = json.load(f)
 
+# Create the DataFrame
+df = pd.DataFrame(data)
+```
 
-## Model Examination [optional]
+#### Summary
 
-<!-- Relevant interpretability work for the model goes here -->
 
-[More Information Needed]
 
 ## Environmental Impact
 
@@ -139,58 +131,28 @@ Use the code below to get started with the model.
 
 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]
+- **Hardware Type:** H100
+- **Hours used:** 30 minutes 
+- **Cloud Provider:** Google-cloud
+
 
 ## Technical Specifications [optional]
 
 ### Model Architecture and Objective
 
-[More Information Needed]
-
-### Compute Infrastructure
-
-[More Information Needed]
-
 #### Hardware
 
-[More Information Needed]
+- **Hardware Type:** H100
+- **Hours used:** 30 minutes 
+- **Cloud Provider:** Google-cloud
 
 #### Software
 
-[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:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Model Card Authors [optional]
-
-[More Information Needed]
-
-## Model Card Contact
-
-[More Information Needed]
+- bitsandbytes==0.42.0
+- peft==0.8.2
+- trl==0.7.10
+- accelerate==0.27.1
+- datasets==2.17.0
+- transformers==4.38.0