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I-Heart_sft_1.0 – AI Model by Pain-Killer | AlphaNeural AI
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Pain-Killer
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I-Heart_sft_1.0
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transformers
tensorboard
safetensors
mistral
text-generation
trl
sft
generated_from_trainer
conversational
generator
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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I-Heart_sft_1.0
This model was trained from scratch on the generator dataset. It achieves the following results on the evaluation set:
Loss: 1.0549
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: 2e-05
train_batch_size: 4
eval_batch_size: 32
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 16
total_eval_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.9751
1.0
435
1.0549
Framework versions
Transformers 4.40.0
Pytorch 2.2.2+cu121
Datasets 2.19.0
Tokenizers 0.19.1
