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no_robots – AI Model by rchadha134 | AlphaNeural AI

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rchadha134/
no_robots

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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no_robots

This model is a fine-tuned version of abhishek/llama-2-7b-hf-small-shards on the None 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
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.35.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1