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llama2-finetuned-squad-hf-2 – AI Model by amit70 | AlphaNeural AI
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amit70
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llama2-finetuned-squad-hf-2
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tensorboard
generated_from_trainer
squad
meta-llama/Llama-2-7b-chat-hf
finetune
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llama2-finetuned-squad-hf-2
This model is a fine-tuned version of
meta-llama/Llama-2-7b-chat-hf
on the squad dataset. It achieves the following results on the evaluation set:
Loss: 1.1759
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: 2e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
1.4102
0.96
18
1.2801
1.7776
1.92
36
1.2137
1.7838
2.88
54
1.1908
1.6322
3.84
72
1.1784
1.2947
4.8
90
1.1759
Framework versions
Transformers 4.31.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
