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034 – AI Model by cemNB | AlphaNeural AI | AlphaNeural AI
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034
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pytorch
tensorboard
generated_from_trainer
tiiuae/falcon-rw-1b
finetune
apache-2.0
us
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034
This model is a fine-tuned version of
tiiuae/falcon-rw-1b
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.6023
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: 0.004
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: 80
Training results
Training Loss
Epoch
Step
Validation Loss
3.5706
0.0
10
5.1981
4.193
0.01
20
4.9740
3.8904
0.01
30
3.7232
3.4349
0.01
40
3.3234
2.9419
0.02
50
2.9871
2.7101
0.02
60
2.7579
2.5516
0.02
70
2.6366
2.4128
0.03
80
2.6023
Framework versions
Transformers 4.32.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
