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riyanatsill/
model-ft_PMB

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model-ft_PMB

This model is a fine-tuned version of NousResearch/Llama-2-7b-chat-hf on an unknown dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
No log	1.0	4	1.9457
No log	2.0	8	1.0707
2.4225	3.0	12	0.9516
2.4225	4.0	16	0.8666
0.8356	5.0	20	0.8133
0.8356	6.0	24	0.7757
0.8356	7.0	28	0.7454
0.6861	8.0	32	0.7230
0.6861	9.0	36	0.7080
0.6374	10.0	40	0.7020