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employee-salary-ft-v2 – AI Model by raghavmehrotrax | AlphaNeural AI
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employee-salary-ft-v2
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peft
safetensors
generated_from_trainer
google/flan-t5-base
adapter
apache-2.0
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employee-salary-ft-v2
This model is a fine-tuned version of
google/flan-t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1958
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 20
Training results
Training Loss
Epoch
Step
Validation Loss
5.1211
3.5556
200
3.7860
1.1228
7.1111
400
0.3616
0.4718
10.6667
600
0.2250
0.3585
14.2222
800
0.2036
0.3216
17.7778
1000
0.1958
Framework versions
PEFT 0.10.0
Transformers 4.41.0
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.19.1