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results – AI Model by lvcalucioli | AlphaNeural AI
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swap-uniba/LLaMAntino-2-7b-hf-ITA
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This model is a fine-tuned version of
swap-uniba/LLaMAntino-2-7b-hf-ITA
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.4095
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: 0.0002
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.6551
1.0
90
1.4257
1.1957
2.0
180
1.3750
0.8459
3.0
270
1.4095
Framework versions
PEFT 0.8.2
Transformers 4.38.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.16.1
Tokenizers 0.15.2
