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opt125_wiki_rlo_k3 – AI Model by ellen625 | AlphaNeural AI
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opt125_wiki_rlo_k3
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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_k3
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: 2.1968
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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.3927
0.8340
500
2.2552
2.2887
1.6681
1000
2.2072
2.2463
2.5021
1500
2.1982
Framework versions
Transformers 4.40.2
Pytorch 2.2.2
Datasets 2.19.1
Tokenizers 0.19.1
