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metadata
base_model: meta-llama/Meta-Llama-3-8B
library_name: peft
license: mit
datasets:
  - rahular/itihasa
language:
  - sa
metrics:
  - bleu
  - comet
  - bertscore
  - ter
  - chrf
pipeline_tag: translation
model-index:
  - name: sarch7040/llama3-8b-itihasa-optimized
    results:
      - task:
          type: translation
        dataset:
          name: rahular/itihasa
          type: rahular/itihasa
        metrics:
          - name: BLEU
            type: BLEU
            value: 0.0644
          - name: BERTScore F1
            type: BERTScore F1
            value: 0.8822
          - name: CHRF++
            type: CHRF++
            value: 32.9906
          - name: TER
            type: TER
            value: 93.3242
          - name: COMET
            type: COMET
            value: 0.6823
        source:
          name: Evaluation script
          url: https://huggingface.co/sarch7040/llama3-8b-itihasa-optimized

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Model Details

Model Description

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Model Sources [optional]

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Uses

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

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How to Get Started with the Model

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Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters

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Evaluation

Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

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Hardware

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Software

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Framework versions

  • PEFT 0.10.0