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causal-mahasent – AI Model by ridhimamlds | AlphaNeural AI
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ridhimamlds
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causal-mahasent
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peft
safetensors
trl
sft
generated_from_trainer
google/gemma-2-2b-it
adapter
gemma
us
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causal-mahasent
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: nan
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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.5012
0.2001
303
nan
2.4794
0.4002
606
nan
2.4263
0.6003
909
nan
2.7387
0.8004
1212
nan
Framework versions
PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1
