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metadata
license: llama2
library_name: peft
tags:
  - trl-sft
  - generated_from_trainer
datasets:
  - generator
base_model: sarvamai/OpenHathi-7B-Hi-v0.1-Base
model-index:
  - name: OpenHathi-7B-Hi-v0.1-Instruct
    results: []

OpenHathi-7B-Hi-v0.1-Instruct

This model is a fine-tuned version of sarvamai/OpenHathi-7B-Hi-v0.1-Base on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9311

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0001
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 100
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 3.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
1.5099 1.0 175 0.9747
1.4435 2.0 351 0.9363
1.4369 2.99 525 0.9311

Framework versions

  • PEFT 0.7.2.dev0
  • Transformers 4.37.0.dev0
  • Pytorch 2.1.0+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0