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BartBanaFinal

Transformers
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Safetensors
mbart
text2text-generation
Generated from Trainer
Eval Results (legacy)
Model card Files
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  1. .ipynb_checkpoints/README-checkpoint.md +199 -0
  2. README.md +116 -0
  3. config.json +36 -0
  4. dict.txt +0 -0
  5. generation_config.json +11 -0
  6. model.safetensors +3 -0
  7. sentencepiece.bpe.model +3 -0
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  30. training_args.bin +3 -0
.ipynb_checkpoints/README-checkpoint.md ADDED
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+ ---
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+ library_name: transformers
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+ tags: []
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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+ This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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+
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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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+
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+ ### Model Sources [optional]
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+
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+ <!-- Provide the basic links for the model. -->
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+
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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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+
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+ ## Uses
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+
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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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+
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+ ### Direct Use
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+
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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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+
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
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+
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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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+
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+ [More Information Needed]
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+
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+ ### Out-of-Scope Use
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+
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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+ [More Information Needed]
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+
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+ ### Recommendations
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+
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+
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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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+
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+ ## How to Get Started with the Model
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+
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+ Use the code below to get started with the model.
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+
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+ [More Information Needed]
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+
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+ ## Training Details
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+
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+ ### Training Data
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+
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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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+
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+ [More Information Needed]
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+
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+ ### Training Procedure
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+
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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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+
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+ #### Preprocessing [optional]
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+
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+ [More Information Needed]
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+
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+
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+ #### Training Hyperparameters
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+
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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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+
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+ #### Speeds, Sizes, Times [optional]
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+
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+
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+ [More Information Needed]
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+
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+ ## Evaluation
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+
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ ### Testing Data, Factors & Metrics
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+
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+ #### Testing Data
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+
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+ <!-- This should link to a Dataset Card if possible. -->
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+
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+ [More Information Needed]
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+
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+ #### Factors
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
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+ [More Information Needed]
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+
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+ #### Metrics
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+
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+
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+ [More Information Needed]
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+
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+ ### Results
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+
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+ [More Information Needed]
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+
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+ #### Summary
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+
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+
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+
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+ ## Model Examination [optional]
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+
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+ <!-- Relevant interpretability work for the model goes here -->
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+
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+ [More Information Needed]
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+
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+ ## Environmental Impact
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+
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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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+
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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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+
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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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+
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+ ## Technical Specifications [optional]
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+
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+ ### Model Architecture and Objective
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+
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+ [More Information Needed]
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+
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+ ### Compute Infrastructure
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+
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+ [More Information Needed]
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+
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+ #### Hardware
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+
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+ [More Information Needed]
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+
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+ #### Software
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+
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+ [More Information Needed]
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+
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+ ## Citation [optional]
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+
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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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+
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+ **BibTeX:**
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+
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+ [More Information Needed]
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+
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+ **APA:**
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+
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+ [More Information Needed]
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+
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+ ## Glossary [optional]
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+
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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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+
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+ [More Information Needed]
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+
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+ ## More Information [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Authors [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Contact
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+
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+ [More Information Needed]
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: mit
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+ base_model: IAmSkyDra/BARTBana_v4
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - generator
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+ metrics:
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+ - sacrebleu
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+ model-index:
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+ - name: BartBanaFinal
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+ results:
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+ - task:
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+ name: Sequence-to-sequence Language Modeling
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+ type: text2text-generation
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+ dataset:
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+ name: generator
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+ type: generator
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+ config: default
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+ split: train
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+ args: default
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+ metrics:
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+ - name: Sacrebleu
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+ type: sacrebleu
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+ value: 7.635927551218398
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # BartBanaFinal
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+
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+ This model is a fine-tuned version of [IAmSkyDra/BARTBana_v4](https://huggingface.co/IAmSkyDra/BARTBana_v4) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9377
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+ - Sacrebleu: 7.6359
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+ - Chrf++: 20.8294
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 256
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+ - eval_batch_size: 256
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 512
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - training_steps: 74268
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Chrf++ | Validation Loss | Sacrebleu |
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+ |:-------------:|:------:|:-----:|:-------:|:---------------:|:---------:|
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+ | No log | 0 | 0 | 12.4337 | 43.2284 | 1.4192 |
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+ | 0.0991 | 0.0269 | 2000 | 11.2880 | 1.2912 | 1.1187 |
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+ | 0.0809 | 0.0539 | 4000 | 11.5611 | 1.3142 | 1.3828 |
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+ | 0.0753 | 0.0808 | 6000 | 13.3735 | 1.1897 | 2.0364 |
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+ | 0.0766 | 0.1077 | 8000 | 14.2949 | 1.1585 | 2.6931 |
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+ | 0.0716 | 0.1346 | 10000 | 15.6571 | 1.1603 | 3.1694 |
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+ | 0.0683 | 0.1616 | 12000 | 16.1006 | 1.1283 | 3.6586 |
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+ | 0.0749 | 0.1885 | 14000 | 15.8517 | 1.1128 | 3.9157 |
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+ | 0.0667 | 0.2154 | 16000 | 16.5723 | 1.1299 | 4.4107 |
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+ | 0.0667 | 0.2154 | 16000 | 1.1299 | 4.4107 | 16.5723 |
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+ | 0.0696 | 0.2424 | 18000 | 1.1231 | 4.8033 | 16.8438 |
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+ | 0.0646 | 0.2693 | 20000 | 1.0649 | 5.0907 | 17.1505 |
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+ | 0.0561 | 0.2962 | 22000 | 1.1106 | 5.3579 | 17.5405 |
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+ | 0.0535 | 0.3232 | 24000 | 1.1279 | 5.6159 | 17.4801 |
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+ | 0.0596 | 0.3501 | 26000 | 1.0895 | 6.4406 | 18.6337 |
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+ | 0.0586 | 0.3770 | 28000 | 1.0839 | 6.5442 | 18.9215 |
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+ | 0.0638 | 0.4039 | 30000 | 1.0565 | 6.4225 | 18.5386 |
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+ | 0.0629 | 0.4309 | 32000 | 1.1079 | 6.4306 | 18.5905 |
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+ | 0.0632 | 0.4578 | 34000 | 1.0776 | 6.9070 | 19.1286 |
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+ | 0.0611 | 0.4847 | 36000 | 0.9987 | 7.2865 | 19.6978 |
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+ | 0.0624 | 0.5117 | 38000 | 1.0437 | 6.9193 | 19.0454 |
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+ | 0.0664 | 0.5386 | 40000 | 1.0551 | 6.8607 | 19.9180 |
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+ | 0.0683 | 0.5655 | 42000 | 1.0556 | 6.8791 | 19.4370 |
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+ | 0.0696 | 0.5924 | 44000 | 0.9795 | 6.8530 | 19.4825 |
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+ | 0.0731 | 0.6194 | 46000 | 0.9630 | 6.9622 | 19.5364 |
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+ | 0.0758 | 0.6463 | 48000 | 0.9629 | 7.4617 | 20.5333 |
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+ | 0.0797 | 0.6732 | 50000 | 0.9573 | 7.0331 | 20.3342 |
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+ | 0.0735 | 0.7002 | 52000 | 0.9952 | 6.8602 | 20.2803 |
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+ | 0.0945 | 0.7271 | 54000 | 0.9377 | 7.6359 | 20.8294 |
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+ | 0.0909 | 0.7540 | 56000 | 0.9200 | 7.3479 | 20.3585 |
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+ | 0.0937 | 0.7810 | 58000 | 0.8964 | 7.5754 | 20.9843 |
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+ | 0.102 | 0.8079 | 60000 | 0.9248 | 7.4648 | 20.8126 |
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+ | 0.1097 | 0.8348 | 62000 | 0.9134 | 7.4953 | 21.2279 |
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+ | 0.116 | 0.8617 | 64000 | 0.9139 | 7.1967 | 20.8760 |
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+ | 0.1227 | 0.8887 | 66000 | 0.9069 | 7.4669 | 21.0805 |
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+ | 0.1426 | 0.9156 | 68000 | 0.8971 | 7.3416 | 20.9100 |
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+ | 0.1782 | 0.9425 | 70000 | 0.8868 | 7.3209 | 20.8953 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.57.1
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+ - Pytorch 2.9.0+cu128
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+ - Datasets 4.4.1
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+ - Tokenizers 0.22.1
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