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DeciLM7B-FineTuning-checkpoints – AI Model by EddyGiusepe | AlphaNeural AI
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EddyGiusepe
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DeciLM7B-FineTuning-checkpoints
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
Deci/DeciLM-7B
adapter
apache-2.0
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DeciLM7B-FineTuning-checkpoints
This model is a fine-tuned version of
Deci/DeciLM-7B
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.6058
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: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: reduce_lr_on_plateau
lr_scheduler_warmup_steps: 150
training_steps: 738
Training results
Training Loss
Epoch
Step
Validation Loss
1.2254
3.23
100
2.1523
0.4367
6.45
200
2.2709
0.3763
9.68
300
2.4208
0.3719
12.9
400
2.4735
0.355
16.13
500
2.7165
0.3513
19.35
600
2.7926
0.3738
22.58
700
2.6058
Framework versions
PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
