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opt_125_wiki_k10 – AI Model by ellen625 | AlphaNeural AI
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opt_125_wiki_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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opt_125_wiki_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: 1.0748
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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.1921
0.4172
500
1.1153
1.1596
0.8344
1000
1.0920
1.1265
1.2516
1500
1.0861
1.113
1.6688
2000
1.0788
1.0929
2.0859
2500
1.0763
1.0872
2.5031
3000
1.0760
1.0991
2.9203
3500
1.0750
Framework versions
Transformers 4.40.2
Pytorch 2.2.2
Datasets 2.19.1
Tokenizers 0.19.1
