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dmariko/
SmolLM_1_7B_Instruct_qlora_nf4

Name: SmolLM_1_7B_Instruct_qlora_nf4
Availability: InStock

generated_from_trainer

generator

HuggingFaceTB/SmolLM-1.7B-Instruct

adapter

cc-by-nc-4.0

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SmolLM_1_7B_Instruct_qlora_nf4

This model is a fine-tuned version of HuggingFaceTB/SmolLM-1.7B-Instruct on the generator dataset. It achieves the following results on the evaluation set:

Loss: 1.6524

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: 0.001
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 16
gradient_accumulation_steps: 4
total_train_batch_size: 256
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
2.0516	0.9756	10	1.8985
1.8456	1.9512	20	1.7876
1.7672	2.9268	30	1.7327
1.712	4.0	41	1.6967
1.6874	4.9756	51	1.6761
1.6643	5.9512	61	1.6636
1.6426	6.9268	71	1.6565
1.6388	8.0	82	1.6530
1.6387	8.9756	92	1.6524
1.6343	9.7561	100	1.6524

Framework versions

PEFT 0.10.0
Transformers 4.40.0
Pytorch 2.1.0
Datasets 2.18.0
Tokenizers 0.19.1

dmariko/SmolLM_1_7B_Instruct_qlora_nf4

SmolLM_1_7B_Instruct_qlora_nf4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

dmariko/
SmolLM_1_7B_Instruct_qlora_nf4