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output_iter2_ckpt – AI Model by DavieLion | AlphaNeural AI
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output_iter2_ckpt
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transformers
safetensors
llama
text-generation
alignment-handbook
generated_from_trainer
conversational
new_data/iter1
new_data/iter2
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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iter2-ckpt
This model is a fine-tuned version of
outputs/iter1-ckpt
on the new_data/iter1 and the new_data/iter2 datasets.
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: 1e-07
train_batch_size: 2
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 6.0
Training results
Framework versions
Transformers 4.45.0
Pytorch 2.1.2+cu121
Datasets 3.2.0
Tokenizers 0.20.3
