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Gemma-2b-MultiCap-mt – AI Model by sofyc | AlphaNeural AI
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sofyc
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Gemma-2b-MultiCap-mt
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peft
safetensors
trl
sft
generated_from_trainer
google/gemma-2-2b-it
adapter
gemma
us
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Gemma-2b-MultiCap-mt
This model is a fine-tuned version of
google/gemma-2-2b-it
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8644
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.1429
0.1277
50
1.1222
0.8782
0.2554
100
0.9298
0.8032
0.3831
150
0.8972
0.9111
0.5109
200
0.8814
0.8477
0.6386
250
0.8734
0.8528
0.7663
300
0.8679
0.8024
0.8940
350
0.8644
Framework versions
PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.0+cu124
Datasets 2.21.0
Tokenizers 0.19.1
