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opt125_wiki_rlo_k10 – AI Model by ellen625 | AlphaNeural AI
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opt125_wiki_rlo_k10
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transformers
safetensors
opt
text-generation
generated_from_trainer
facebook/opt-125m
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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opt125_wiki_rlo_k10
This model is a fine-tuned version of
facebook/opt-125m
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.7443
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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
1.8693
0.8340
500
1.7542
Framework versions
Transformers 4.40.2
Pytorch 2.2.2
Datasets 2.19.1
Tokenizers 0.19.1
