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SmolLM_1_7B_Instruct_qlora_nf4-plaba-sequential-adapter – AI Model by dmariko | AlphaNeural AI
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dmariko
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SmolLM_1_7B_Instruct_qlora_nf4-plaba-sequential-adapter
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
en
generator
dmariko/SmolLM-1.7B-Instruct_qlora_nf4_merged
adapter
cc-by-nc-4.0
us
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SmolLM_1_7B_Instruct_qlora_nf4-plaba
This model is a fine-tuned version of
dmariko/SmolLM-1.7B-Instruct_qlora_nf4_merged
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 1.6513
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
No log
0.8
1
1.7222
No log
1.6
2
1.7181
No log
2.4
3
1.6971
No log
4.0
5
1.6586
No log
4.8
6
1.6597
No log
5.6
7
1.6572
No log
6.4
8
1.6539
1.6809
8.0
10
1.6513
Framework versions
PEFT 0.10.0
Transformers 4.40.0
Pytorch 2.1.0
Datasets 2.18.0
Tokenizers 0.19.1
