opt_2.7b_wiki_ce – AI Model by ellen625 | AlphaNeural AI

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ellen625/
opt_2.7b_wiki_ce

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text-generation

generated_from_trainer

facebook/opt-1.3b

autotrain_compatible

text-generation-inference

endpoints_compatible

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opt_2.7b_wiki_ce

This model is a fine-tuned version of facebook/opt-1.3b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.4190

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: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.6033	0.4354	500	2.4562
2.5267	0.8707	1000	2.4247

Framework versions

Transformers 4.40.2
Pytorch 2.2.2
Datasets 2.19.1
Tokenizers 0.19.1