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opt-350M-tutor

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metadata
license: mit
base_model: facebook/opt-350m
tags:
  - OPTForCausalLM
  - trl
  - sft
  - generated_from_trainer
  - pytorch
model-index:
  - name: opt-350M-tutor
    results: []
datasets:
  - Rohan1998/Tutor
language:
  - en
library_name: transformers
pipeline_tag: text-generation

opt-350M-tutor

This model is a fine-tuned version of facebook/opt-350m on an unknown dataset.

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: 2e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 1337
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.02
  • training_steps: 250

Training results

Framework versions

  • Transformers 4.42.3
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1