myBit-Llama2-jp-127M-test-10 – AI Model by HachiML | AlphaNeural AI | AlphaNeural AI

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HachiML/
myBit-Llama2-jp-127M-test-10

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myBit-Llama2-jp-127M-test-10

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

Loss: 4.5027

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: 0.00024
train_batch_size: 96
eval_batch_size: 96
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: polynomial
lr_scheduler_warmup_steps: 500
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
9.1233	0.07	200	7.9284
7.0718	0.15	400	6.5191
6.0222	0.22	600	5.5007
5.3898	0.29	800	5.2505
5.3181	0.37	1000	5.1436
5.0295	0.44	1200	4.9255
4.8843	0.52	1400	4.8118
4.7822	0.59	1600	4.7350
4.7075	0.66	1800	4.6671
4.644	0.74	2000	4.6128
4.593	0.81	2200	4.5621
4.5478	0.88	2400	4.5245
4.5167	0.96	2600	4.5027

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2