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final_test1 – AI Model by cemNB | AlphaNeural AI
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final_test1
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pytorch
tensorboard
generated_from_trainer
apache-2.0
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final_test1
This model is a fine-tuned version of
tiiuae/falcon-rw-1b
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.6198
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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
training_steps: 10
Training results
Training Loss
Epoch
Step
Validation Loss
2.876
0.0
10
2.6198
Framework versions
Transformers 4.30.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
