train-bioR-concat-gen3 – AI Model by KrisMinchev | AlphaNeural AI

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KrisMinchev/
train-bioR-concat-gen3

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text-generation

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autotrain_compatible

text-generation-inference

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train-bioR-concat-gen3

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.4944

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: 24
eval_batch_size: 24
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 96
total_eval_batch_size: 96
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: 41992
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.7244	0.2381	10000	1.6779
0.6761	0.4763	20000	1.5886
0.6719	0.7144	30000	1.5181
0.6531	0.9525	40000	1.4944

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0