ACTio-glu-silu-21L – AI Model by w-ahmad | AlphaNeural AI

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w-ahmad/
ACTio-glu-silu-21L

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text-generation

generated_from_trainer

endpoints_compatible

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ACTio-glu-silu-21L

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

Loss: 0.2273

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: 0.0003
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
training_steps: 2000

Training results

Training Loss	Epoch	Step	Validation Loss
3.5590	0.0135	200	3.3677
0.9710	0.0270	400	0.9099
0.4505	0.0404	600	0.4825
0.3509	0.0539	800	0.3515
0.3085	0.0674	1000	0.3071
0.2876	0.0809	1200	0.2817
0.2562	0.0944	1400	0.2579
0.2566	0.1079	1600	0.2595
0.2367	0.1213	1800	0.2356
0.2264	0.1348	2000	0.2273

Framework versions

Transformers 5.15.0.dev0
Pytorch 2.6.0+cu124
Datasets 5.0.1
Tokenizers 0.22.2