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llama2-docsum-adapter – AI Model by AvniMittal13 | AlphaNeural AI
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AvniMittal13
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llama2-docsum-adapter
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
microsoft/phi-2
adapter
mit
us
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llama2-docsum-adapter
This model is a fine-tuned version of
microsoft/phi-2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.4782
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: 0.0001
train_batch_size: 1
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.71
0.4
200
1.4977
1.7529
0.8
400
1.4883
1.1946
1.2
600
1.4800
1.6962
1.6
800
1.4786
1.1067
2.0
1000
1.4782
Framework versions
PEFT 0.13.1.dev0
Transformers 4.44.2
Pytorch 2.4.0
Datasets 3.0.0
Tokenizers 0.19.1
