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cp – AI Model by Wowso | AlphaNeural AI
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cp
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generated_from_trainer
samsum
meta-llama/Llama-2-7b-hf
finetune
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finetuned-test
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on the samsum dataset. It achieves the following results on the evaluation set:
Loss: 1.8801
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: 0.0005
train_batch_size: 4
eval_batch_size: 4
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: constant
lr_scheduler_warmup_ratio: 0.03
training_steps: 50
Training results
Training Loss
Epoch
Step
Validation Loss
1.9324
0.01
10
1.8002
1.7211
0.02
20
1.7225
1.6751
0.03
30
1.7174
1.5841
0.04
40
1.7560
1.4824
0.05
50
1.8801
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.14.1
