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chchen/
Llama-3.1-8B-Instruct-SFT-900

Name: Llama-3.1-8B-Instruct-SFT-900
Availability: InStock

generated_from_trainer

meta-llama/Llama-3.1-8B-Instruct

adapter

llama3.1

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Llama-3.1-8B-Instruct-SFT-900

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the bct_non_cot_sft_900 dataset. It achieves the following results on the evaluation set:

Loss: 0.1053

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: 5e-06
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.201	0.9877	50	1.0016
0.1407	1.9753	100	0.1513
0.0885	2.9630	150	0.1082
0.0743	3.9506	200	0.1068
0.0855	4.9383	250	0.1062
0.0571	5.9259	300	0.1058
0.063	6.9136	350	0.1054
0.0597	7.9012	400	0.1057
0.0694	8.8889	450	0.1053
0.0593	9.8765	500	0.1053

Framework versions

PEFT 0.12.0
Transformers 4.45.2
Pytorch 2.3.0
Datasets 2.19.0
Tokenizers 0.20.0

chchen/Llama-3.1-8B-Instruct-SFT-900

Llama-3.1-8B-Instruct-SFT-900

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

chchen/
Llama-3.1-8B-Instruct-SFT-900