viettel_v3.2_adapter – AI Model by minhbui | AlphaNeural AI

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minhbui/
viettel_v3.2_adapter

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text-generation

generated_from_trainer

meta-llama/Llama-2-7b-hf

autotrain_compatible

endpoints_compatible

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ckpts/llama2-7b-viettel_v3.2_2epoch

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3727

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: 0.0002
train_batch_size: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 3
gradient_accumulation_steps: 4
total_train_batch_size: 24
total_eval_batch_size: 6
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 20
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
0.4378	0.12	200	0.4331
0.4266	0.24	400	0.4187
0.4199	0.37	600	0.4086
0.4024	0.49	800	0.4016
0.4003	0.61	1000	0.3966
0.3849	0.73	1200	0.3914
0.3814	0.86	1400	0.3865
0.3825	0.98	1600	0.3831
0.3557	1.1	1800	0.3812
0.3531	1.22	2000	0.3789
0.3444	1.35	2200	0.3771
0.3411	1.47	2400	0.3752
0.35	1.59	2600	0.3738
0.3586	1.71	2800	0.3733
0.349	1.84	3000	0.3728
0.357	1.96	3200	0.3727

Framework versions

Transformers 4.34.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.14.0