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1024R-256F-gemma-2-2b_hs2_iter1_sftsd1 – AI Model by jkazdan | AlphaNeural AI
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1024R-256F-gemma-2-2b_hs2_iter1_sftsd1
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safetensors
gemma2
trl
sft
generated_from_trainer
google/gemma-2-2b
finetune
gemma
us
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1024R-256F-gemma-2-2b_hs2_iter1_sftsd1
This model is a fine-tuned version of
google/gemma-2-2b
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.1652
Num Input Tokens Seen: 576312
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: 8e-06
train_batch_size: 8
eval_batch_size: 16
seed: 1
gradient_accumulation_steps: 16
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Input Tokens Seen
No log
0
0
1.3956
0
1.1522
0.5
5
1.2242
289616
1.0578
1.0
10
1.1652
576312
Framework versions
Transformers 4.44.0
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
