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train-bioR-concat-gen1 – AI Model by KrisMinchev | AlphaNeural AI
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train-bioR-concat-gen1
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transformers
safetensors
gpt_neox
text-generation
generated_from_trainer
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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train-bioR-concat-gen1
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.3226
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: 0.001
train_batch_size: 48
eval_batch_size: 48
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 192
total_eval_batch_size: 192
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
training_steps: 23848
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.5839
0.4193
10000
1.3249
0.5677
0.8386
20000
1.3226
Framework versions
Transformers 4.53.0
Pytorch 2.5.1
Datasets 3.6.0
Tokenizers 0.21.2
