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phi2_fine_tuned – AI Model by ArunaMak | AlphaNeural AI
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ArunaMak
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phi2_fine_tuned
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peft
safetensors
trl
sft
generated_from_trainer
generator
microsoft/phi-2
adapter
mit
us
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ERC_SUMMARY_phi2_peft
This model is a fine-tuned version of
microsoft/phi-2
on the ArunaMak/ERC_summary dataset. It achieves the following results on the evaluation set:
Loss: 1.4798
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: 1
eval_batch_size: 1
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
num_epochs: 6
Training results
Training Loss
Epoch
Step
Validation Loss
1.5888
1.0
40
1.5819
1.5677
2.0
80
1.5202
1.5819
3.0
120
1.4962
1.4227
4.0
160
1.4842
1.4786
5.0
200
1.4798
1.5015
6.0
240
1.4798
Framework versions
PEFT 0.12.0
Transformers 4.43.0.dev0
Pytorch 2.3.1+cu118
Datasets 2.20.0
Tokenizers 0.19.1
