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gemma_summarizer_4 – AI Model by zera09 | AlphaNeural AI
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zera09
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gemma_summarizer_4
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
google/gemma-2-2b-it
adapter
gemma
us
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gemma_summarizer_4
This model is a fine-tuned version of
google/gemma-2-2b-it
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.3756
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
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
1.5747
0.3999
630
1.9628
3.9413
0.7997
1260
2.4514
3.5933
1.1996
1890
2.4758
0.9185
1.5995
2520
2.3360
0.9327
1.9994
3150
2.3756
Framework versions
PEFT 0.11.1
Transformers 4.44.0
Pytorch 2.3.1
Datasets 2.20.0
Tokenizers 0.19.1
