Jayanta8509
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FAQBOT

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FAQBOT

This model is a fine-tuned version of microsoft/phi-2 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: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 2

Training results

Framework versions

Transformers 4.31.0
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.13.3

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Model tree for Jayanta8509/FAQBOT

Base model

microsoft/phi-2

Finetuned

(284)

this model

Evaluation results

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