Baby-Llama-58M-Seq-12 – AI Model by aakarsh-nair | AlphaNeural AI

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aakarsh-nair/
Baby-Llama-58M-Seq-12

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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Baby-Llama-58M-Seq-12

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

Loss: 1.9329

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: 0.00025
train_batch_size: 128
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 200
num_epochs: 25
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
13.6431	1.0	1033	13.0003
4.5948	2.0	2066	5.0537
3.2884	3.0	3099	3.7453
2.7693	4.0	4132	3.2173
2.4546	5.0	5165	2.9641
2.3522	6.0	6198	2.7657
2.232	7.0	7231	2.7236
2.117	8.0	8264	2.5361
2.0658	9.0	9297	2.4256
1.9785	10.0	10330	2.3703
1.9123	11.0	11363	2.2645
1.8826	12.0	12396	2.2197
1.8313	13.0	13429	2.1459
1.8022	14.0	14462	2.1489
1.7861	15.0	15495	2.0834
1.721	16.0	16528	2.0582
1.6752	17.0	17561	2.0198
1.6826	18.0	18594	2.0021
1.6616	19.0	19627	1.9790
1.6526	20.0	20660	1.9602
1.6398	21.0	21693	1.9488
1.6466	22.0	22726	1.9407
1.6254	23.0	23759	1.9366
1.6168	24.0	24792	1.9338
1.6347	25.0	25825	1.9329

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Tokenizers 0.19.1