llama-68m-finetuned-wikitext2 – AI Model by NowaBwagel0 | AlphaNeural AI | AlphaNeural AI

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NowaBwagel0/
llama-68m-finetuned-wikitext2

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text-generation

generated_from_trainer

JackFram/llama-68m

autotrain_compatible

text-generation-inference

endpoints_compatible

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llama-68m-finetuned-wikitext2

This model is a fine-tuned version of JackFram/llama-68m on the None dataset. It achieves the following results on the evaluation set:

Loss: 5.9290

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	175	3.1817
No log	2.0	350	3.2699
2.5169	3.0	525	3.4555
2.5169	4.0	700	3.6923
2.5169	5.0	875	3.9542
1.5624	6.0	1050	4.2089
1.5624	7.0	1225	4.4777
1.5624	8.0	1400	4.7426
0.841	9.0	1575	4.9898
0.841	10.0	1750	5.2385
0.841	11.0	1925	5.4648
0.3788	12.0	2100	5.6607
0.3788	13.0	2275	5.8074
0.3788	14.0	2450	5.8933
0.1474	15.0	2625	5.9290

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0